Triple

T1697291
Position Surface form Disambiguated ID Type / Status
Subject Fernande Olivier E36686 entity
Predicate placeOfActivity P1527 FINISHED
Object Montmartre, Paris E55139 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: Montmartre, Paris | Statement: [Fernande Olivier, placeOfActivity, Montmartre, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montmartre, Paris
Context triple: [Fernande Olivier, placeOfActivity, Montmartre, Paris]
  • A. Montmartre chosen
    Montmartre is a historic hilltop district in Paris known for its artistic heritage, bohemian atmosphere, and panoramic views over the city.
  • B. Gay Village
    Gay Village is a vibrant district in Manchester known for its LGBTQ+ nightlife, bars, clubs, and community events centered around Canal Street.
  • C. 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.
  • D. Latin Quarter
    The Latin Quarter is a historic Parisian neighborhood famed for its universities, student life, and lively cafés and bookshops.
  • E. Montparnasse
    Montparnasse is a historic Parisian district famed for its early 20th-century artistic and literary scene, its cafés and studios frequented by avant-garde figures, and landmarks such as the Montparnasse Tower and cemetery.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b78d20819096f0602058c46d8a completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0ccf91881909f788d425f66d9eb completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.