Triple

T9199366
Position Surface form Disambiguated ID Type / Status
Subject Helen of Troy in The Trojan Women E220797 entity
Predicate associatedWith P37 FINISHED
Object Sparta E56539 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: Sparta | Statement: [Helen of Troy in The Trojan Women, associatedWith, Sparta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparta
Context triple: [Helen of Troy in The Trojan Women, associatedWith, Sparta]
  • A. Sparta chosen
    Sparta was a prominent ancient Greek city-state known for its militaristic society, rigorous citizen training, and dominant land-based army.
  • B. Sparta
    Sparta is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • C. Sparta
    Sparta is a historic village in Elgin County, Ontario, known for its 19th-century heritage buildings and roots as a Quaker settlement.
  • D. Athens and Sparta
    Athens and Sparta were the two leading city-states of ancient Greece, renowned for their contrasting democratic and militaristic societies and their rivalry during the Peloponnesian War.
  • E. Argeia
    Argeia is a figure in Greek mythology known primarily as the daughter of King Adrastus of Argos and the wife of Polynices, one of the Seven against Thebes.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd881c5d48190bbc33fac71a1d849 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c40267c8190926f4d5c912d0f45 completed April 4, 2026, 12:33 a.m.
Created at: March 30, 2026, 7:25 p.m.