Triple

T1387005
Position Surface form Disambiguated ID Type / Status
Subject Lycée Henri-IV E29868 entity
Predicate locatedIn P40 FINISHED
Object Latin Quarter E49173 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: Latin Quarter | Statement: [Lycée Henri-IV, locatedIn, Latin Quarter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latin Quarter
Context triple: [Lycée Henri-IV, locatedIn, Latin Quarter]
  • A. Latin Quarter chosen
    The Latin Quarter is a historic Parisian neighborhood famed for its universities, student life, and lively cafés and bookshops.
  • 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. Montmartre
    Montmartre is a historic hilltop district in Paris known for its artistic heritage, bohemian atmosphere, and panoramic views over the city.
  • D. Gay Village
    Gay Village is a vibrant district in Manchester known for its LGBTQ+ nightlife, bars, clubs, and community events centered around Canal Street.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c33b6e108190b6b2bca4ddd97b6c completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde1f08e08190871fd9d539e902c8 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:59 p.m.