Triple

T7539712
Position Surface form Disambiguated ID Type / Status
Subject Sinon E178242 entity
Predicate contributedTo P37 FINISHED
Object fall of Troy E102221 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: fall of Troy | Statement: [Sinon, contributedTo, fall of Troy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: fall of Troy
Context triple: [Sinon, contributedTo, fall of Troy]
  • A. Trojan War chosen
    The Trojan War is a legendary ancient Greek conflict between the city of Troy and a coalition of Greek states, famed for its heroes, divine interventions, and central place in Greek mythology and epic poetry.
  • B. The Destruction of Troy
    The Destruction of Troy is a Middle English alliterative poem retelling the fall of Troy, notable as a key work of the Alliterative Revival in 14th-century English literature.
  • C. Troy
    Troy is a historic city in eastern New York State, known for its 19th-century architecture and role in the Industrial Revolution as a major manufacturing center.
  • D. Troy
    Troy is the legendary ancient city in Asia Minor that was the focal point of the Trojan War in Greek and Roman mythology.
  • E. Troy
    Troy is a suburban city in Michigan known for its strong business community, shopping centers, and role as a key part of the Detroit metropolitan area.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f87280f0819097d4ffc2e1b62cf8 completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856b93188819080c769a2a1b122f4 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:48 p.m.