Triple

T775730
Position Surface form Disambiguated ID Type / Status
Subject La Sorbonne E16381 entity
Predicate near P350 FINISHED
Object Panthéon E26737 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: Panthéon | Statement: [La Sorbonne, near, Panthéon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panthéon
Context triple: [La Sorbonne, near, Panthéon]
  • A. Panthéon, Paris chosen
    The Panthéon in Paris is a monumental former church turned mausoleum in the Latin Quarter, renowned for its grand neoclassical dome and as the burial place of many distinguished French figures.
  • B. Palais du Champ de Mars
    The Palais du Champ de Mars was a vast temporary exhibition hall in Paris constructed to host major displays and events during the 1878 Exposition Universelle.
  • C. Hôtel des Invalides
    The Hôtel des Invalides is a grand 17th-century complex in Paris that houses military museums, monuments, and Napoleon Bonaparte’s tomb.
  • D. Cimetière des Rois
    Cimetière des Rois is a historic cemetery in Geneva, Switzerland, known as the resting place of many prominent figures in the city’s political, cultural, and humanitarian history.
  • E. Arc de Triomphe
    The Arc de Triomphe is a monumental triumphal arch in Paris that honors those who fought and died for France in the French Revolutionary and Napoleonic Wars and serves as one of the city’s most iconic landmarks.
  • 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_69a67efa8dd481909097c551bf3a61dc completed March 3, 2026, 6:26 a.m.
Created at: March 1, 2026, 7:37 p.m.