Triple

T16080921
Position Surface form Disambiguated ID Type / Status
Subject Provençal Jewish scholars E390105 entity
Predicate centeredIn P4751 FINISHED
Object Posquières E1176767 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: Posquières | Statement: [Provençal Jewish scholars, centeredIn, Posquières]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Posquières
Context triple: [Provençal Jewish scholars, centeredIn, Posquières]
  • A. Posquières chosen
    Posquières was a medieval Provençal town in southern France known as an important center of Jewish learning and scholarship.
  • B. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • C. Bédarieux
    Bédarieux is a commune in southern France’s Hérault department, known for its location in the Orb valley at the foothills of the Massif Central.
  • D. Périgny
    Périgny is a French commune best known in this context as the site where the Founding Congress of the Fourth International was held.
  • E. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1844a5c68819086a13c93a787b436 completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48adec081909623355eabee472c completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:57 a.m.