Triple

T720054
Position Surface form Disambiguated ID Type / Status
Subject Allier River E14395 entity
Predicate flowsThroughCity P10456 FINISHED
Object Vichy E1394 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: Vichy | Statement: [Allier River, flowsThroughCity, Vichy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vichy
Context triple: [Allier River, flowsThroughCity, Vichy]
  • A. Vichy chosen
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • B. Thoiry
    Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • C. Limoges
    Limoges is a historic city in central France renowned for its fine porcelain production and medieval architecture.
  • D. Évian-les-Bains
    Évian-les-Bains is a French spa and resort town in the Alps renowned worldwide for its mineral water and scenic lakeside setting.
  • E. Saint-Cloud
    Saint-Cloud is a commune just west of Paris, historically notable as the site where Napoleon Bonaparte staged the Coup of 18 Brumaire that ended the French Directory and ushered in his rule.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a58e65e8819098cba7e6a20d8f33 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e5413448190bd9112e2b3d83826 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 7:37 p.m.