Triple

T1244759
Position Surface form Disambiguated ID Type / Status
Subject Panthéon, Paris E26737 entity
Predicate dedicatedTo P500 FINISHED
Object Sainte-Geneviève E64955 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: Sainte-Geneviève | Statement: [Panthéon, Paris, dedicatedTo, Sainte-Geneviève]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sainte-Geneviève
Context triple: [Panthéon, Paris, dedicatedTo, Sainte-Geneviève]
  • A. Montagne Sainte-Geneviève chosen
    Montagne Sainte-Geneviève is a historic hill in Paris’s Latin Quarter known for its academic institutions and intellectual heritage.
  • B. Saint-Denis
    Saint-Denis is a northern suburb of Paris known for its historic basilica, diverse population, and major sports venues including the Stade de France.
  • C. Châtelet–Les Halles
    Châtelet–Les Halles is a major underground transport hub in central Paris, serving as one of the largest and busiest railway and metro stations in Europe.
  • D. Port-Royal-des-Champs
    Port-Royal-des-Champs was a prominent 17th-century French Cistercian abbey and intellectual center known for its role in Jansenism and its influential contributions to philosophy, theology, and education.
  • E. La Part-Dieu
    La Part-Dieu is a major business and commercial district in Lyon, France, known for its large shopping center, office towers, and central train station.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6498948190b30b09d845d67ac4 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7da5c48190b013f1578c160d78 completed March 7, 2026, 8:50 p.m.
Created at: March 1, 2026, 7:47 p.m.