Triple

T9559670
Position Surface form Disambiguated ID Type / Status
Subject Incident at Vichy E230635 entity
Predicate settingLocation P40 FINISHED
Object Vichy, France 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, France | Statement: [Incident at Vichy, settingLocation, Vichy, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vichy, France
Context triple: [Incident at Vichy, settingLocation, Vichy, France]
  • 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. Fontainebleau, France
    Fontainebleau, France is a historic town southeast of Paris best known for its vast forest and royal château, long associated with French monarchs and outdoor recreation.
  • C. Villeblevin, France
    Villeblevin, France is a small commune in north-central France best known as the place where Nobel Prize–winning writer Albert Camus died in a car accident.
  • D. Chatou, France
    Chatou, France is a suburban town on the River Seine near Paris, historically known as an artists’ retreat associated with Impressionist and Fauvist painters.
  • E. Douai, France
    Douai, France is a historic town in northern France known for its medieval belfry, legal and university traditions, and role as a regional administrative center.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd994a7e9c8190b68883c2ea45aa1a completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1529b4974819096e26153c60bf05c completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:03 p.m.