Triple

T775696
Position Surface form Disambiguated ID Type / Status
Subject La Sorbonne E16381 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: [La Sorbonne, locatedIn, Latin Quarter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latin Quarter
Context triple: [La Sorbonne, 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a73236288190b82d66202f2f7399 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d9b8b308190b19378e797f499b1 completed March 3, 2026, 5:11 a.m.
Created at: March 1, 2026, 7:37 p.m.