Triple

T4297213
Position Surface form Disambiguated ID Type / Status
Subject Siscia E99742 entity
Predicate containedStructure P22287 FINISHED
Object forum LITERAL FINISHED

How this triple was built (2 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: forum | Statement: [Siscia, containedStructure, forum]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containedStructure
Context triple: [Siscia, containedStructure, forum]
  • A. internalStructure chosen
    Indicates that one entity is a component, part, or substructure contained within the overall structure of another entity.
  • B. containsStructureFrom
    Indicates that one entity includes or incorporates a structural component originating from another entity.
  • C. containedWith
    Indicates that one entity is located or kept inside the bounds or interior space of another entity.
  • D. usedStructure
    Indicates that one entity makes use of, relies on, or operates through a particular structure (physical, logical, or organizational) to perform its function or action.
  • E. hasHumanStructure
    Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
  • F. None of above.

Provenance (3 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509aebd48190af38f2e37f07869a completed March 12, 2026, 11:47 p.m.
PD Predicate disambiguation batch_69b347fe55a88190b77bab0c0f38e1aa completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:08 p.m.