Triple

T15673249
Position Surface form Disambiguated ID Type / Status
Subject Paris (Orlando Bloom) E377371 entity
Predicate setting P1957 FINISHED
Object city of Troy E459176 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: city of Troy | Statement: [Paris (Orlando Bloom), setting, city of Troy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Troy
Context triple: [Paris (Orlando Bloom), setting, city of Troy]
  • A. Tróia
    Tróia is a Portuguese peninsula and resort area known for its long sandy beaches, Roman ruins, and proximity to the city of Setúbal.
  • B. Troy, ancient city chosen
    Troy was a legendary ancient city in Anatolia, best known as the setting of the Trojan War in Greek mythology and the focus of Homer's epic poem the Iliad.
  • C. Ilion
    Ilion is a suburban municipality in the Athens metropolitan area of Greece, located within the West Athens regional unit.
  • D. Troja
    Troja is a district in Prague known for hosting several academic and research facilities, including parts of Charles University’s Faculty of Mathematics and Physics.
  • E. West Troy
    West Troy is the former name of Watervliet, a small industrial city located along the Hudson River in eastern New York State.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6edb12bc8190b2c5558190671ae5 completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 4:16 a.m.