Triple

T5299585
Position Surface form Disambiguated ID Type / Status
Subject Pont de Neuilly E119942 entity
Predicate locatedWestOf P4239 FINISHED
Object Paris city centre E235976 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: Paris city centre | Statement: [Pont de Neuilly, locatedWestOf, Paris city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris city centre
Context triple: [Pont de Neuilly, locatedWestOf, Paris city centre]
  • A. central Paris chosen
    Central Paris is the historic and cultural heart of France’s capital, encompassing its most famous landmarks, dense urban core, and major business, shopping, and tourist districts.
  • B. Paris Rive Gauche district
    The Paris Rive Gauche district is a major urban redevelopment area on the Left Bank of the Seine, known for its modern architecture, cultural institutions, and university campuses.
  • C. Paris Bar
    The Paris Bar is the professional association and regulatory body for lawyers practicing in Paris, France.
  • D. Paris
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • E. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd850877688190a611d6293ca58d94 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10ec33ac819083d283e960a049af completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:53 p.m.