Triple

T8423618
Position Surface form Disambiguated ID Type / Status
Subject Hippias Minor E198922 entity
Predicate traditionalAttribution P7063 FINISHED
Object Plato E5358 NE 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: Plato | Statement: [Hippias Minor, traditionalAttribution, Plato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plato
Context triple: [Hippias Minor, traditionalAttribution, Plato]
  • A. Plato
    Plato is a municipality in Colombia’s Magdalena Department, known for its location in the Caribbean region and its role as a local administrative and commercial center.
  • B. Plato chosen
    Plato was an ancient Greek philosopher, a student of Socrates and teacher of Aristotle, whose dialogues and ideas laid the foundations of Western philosophy.
  • C. Platone
    Platone is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
  • D. Socrates
    Socrates was a classical Athenian philosopher renowned as a founder of Western philosophy, known for his method of questioning and his trial and execution in Athens.
  • E. Aristotle
    Aristotle was an ancient Greek philosopher and polymath whose works on logic, metaphysics, ethics, politics, and natural science profoundly shaped Western thought and intellectual history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb859f787481908a11797a317c8849 completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce3988932c8190969c4c0295348636 completed April 2, 2026, 9:40 a.m.
Created at: March 30, 2026, 6:06 p.m.