Triple

T3448046
Position Surface form Disambiguated ID Type / Status
Subject Province of Valencia E72723 entity
Predicate contains P35 FINISHED
Object Torrent
Torrent is a municipality in eastern Spain that forms part of the metropolitan area of Valencia and is one of the largest towns in the Valencian Community.
E360072 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Torrent | Statement: [Province of Valencia, contains, Torrent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torrent
Context triple: [Province of Valencia, contains, Torrent]
  • A. Interactive Proofs and the Hardness of Approximating Cliques
    "Interactive Proofs and the Hardness of Approximating Cliques" is a seminal theoretical computer science paper that introduced powerful interactive proof techniques to show that finding near-maximum cliques in graphs is computationally intractable to approximate within strong bounds.
  • B. The Knowledge Complexity of Interactive Proof Systems
    "The Knowledge Complexity of Interactive Proof Systems" is a seminal theoretical computer science paper that introduced the notion of zero-knowledge proofs, fundamentally shaping modern cryptography and complexity theory.
  • C. Swan constructed counterexamples over the rational numbers
    Swan constructed counterexamples over the rational numbers refers to Richard G. Swan’s landmark result showing that certain invariant fields under finite group actions over the rational numbers are not rational, thereby disproving a general affirmative answer to Noether’s problem in this setting.
  • D. Dyson’s transform in number theory
    Dyson’s transform in number theory is a combinatorial technique introduced by Freeman Dyson to manipulate and relate integer partitions, particularly in the study of partition identities and congruences.
  • E. Probably Approximately Correct learning (PAC learning)
    Probably Approximately Correct (PAC) learning is a foundational framework in computational learning theory that formalizes what it means for an algorithm to efficiently learn a concept from examples with high probability and small error.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Torrent
Triple: [Province of Valencia, contains, Torrent]
Generated description
Torrent is a municipality in eastern Spain that forms part of the metropolitan area of Valencia and is one of the largest towns in the Valencian Community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Torrent
Target entity description: Torrent is a municipality in eastern Spain that forms part of the metropolitan area of Valencia and is one of the largest towns in the Valencian Community.
  • A. Interactive Proofs and the Hardness of Approximating Cliques
    "Interactive Proofs and the Hardness of Approximating Cliques" is a seminal theoretical computer science paper that introduced powerful interactive proof techniques to show that finding near-maximum cliques in graphs is computationally intractable to approximate within strong bounds.
  • B. The Knowledge Complexity of Interactive Proof Systems
    "The Knowledge Complexity of Interactive Proof Systems" is a seminal theoretical computer science paper that introduced the notion of zero-knowledge proofs, fundamentally shaping modern cryptography and complexity theory.
  • C. Swan constructed counterexamples over the rational numbers
    Swan constructed counterexamples over the rational numbers refers to Richard G. Swan’s landmark result showing that certain invariant fields under finite group actions over the rational numbers are not rational, thereby disproving a general affirmative answer to Noether’s problem in this setting.
  • D. Dyson’s transform in number theory
    Dyson’s transform in number theory is a combinatorial technique introduced by Freeman Dyson to manipulate and relate integer partitions, particularly in the study of partition identities and congruences.
  • E. Probably Approximately Correct learning (PAC learning)
    Probably Approximately Correct (PAC) learning is a foundational framework in computational learning theory that formalizes what it means for an algorithm to efficiently learn a concept from examples with high probability and small error.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba705d988190b76d905751a337ee completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360e781a88190a4df2909f32c62ab completed March 13, 2026, 12:57 a.m.
NEDg Description generation batch_69b3618726b08190905a2c93335eede2 completed March 13, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69b362586a008190b0d54e5cb38845e3 completed March 13, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:16 p.m.