Triple

T3544333
Position Surface form Disambiguated ID Type / Status
Subject Louis Leprince-Ringuet E74958 entity
Predicate placeOfBirth P1 FINISHED
Object Alès E103781 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: Alès | Statement: [Louis Leprince-Ringuet, placeOfBirth, Alès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alès
Context triple: [Louis Leprince-Ringuet, placeOfBirth, Alès]
  • A. Alès chosen
    Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
  • B. Éveux
    Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
  • C. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • D. Oyonnax
    Oyonnax is a town in eastern France’s Ain department, known historically for its plastics industry and its role in the French Resistance during World War II.
  • E. Sorgues
    Sorgues is a commune in southeastern France’s Vaucluse department, known for its location near Avignon and its position at the confluence of the Ouvèze and Sorgue rivers.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf76c5b08190b898d31b80a3a350 completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bdfe5748190b2de831635221ce1 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.