Triple

T1431738
Position Surface form Disambiguated ID Type / Status
Subject Centre Pompidou E30460 entity
Predicate nearby P350 FINISHED
Object Les Halles area E163761 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: Les Halles area | Statement: [Centre Pompidou, nearby, Les Halles area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Halles area
Context triple: [Centre Pompidou, nearby, Les Halles area]
  • A. Beaubourg neighborhood chosen
    The Beaubourg neighborhood is a lively area in central Paris known for its modern art, street life, and the iconic Centre Pompidou.
  • B. La Croix-Rousse
    La Croix-Rousse is a historic hilltop district in Lyon, France, known for its silk-weaving heritage, steep slopes, and distinctive village-like atmosphere.
  • C. Old Quarter
    The Old Quarter is Hanoi’s historic city center, famed for its narrow streets, traditional shophouses, and vibrant street life that reflect the capital’s centuries-old commercial and cultural heritage.
  • D. Grand-Place
    Grand-Place is the central historic square of Lille, France, renowned for its ornate Flemish architecture and vibrant civic life.
  • E. Latin Quarter
    The Latin Quarter is a historic Parisian neighborhood famed for its universities, student life, and lively cafés and bookshops.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4ddbe208190a68cb000a6970d17 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08b5ba94819092e66e8dfd6bf87d completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 8 p.m.