Triple

T4014592
Position Surface form Disambiguated ID Type / Status
Subject Gard E90724 entity
Predicate borders P224 FINISHED
Object Vaucluse department E104221 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: Vaucluse department | Statement: [Gard, borders, Vaucluse department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaucluse department
Context triple: [Gard, borders, Vaucluse department]
  • A. Vaucluse department chosen
    Vaucluse department is an administrative region in southeastern France known for its historic towns, Provençal landscapes, and part of the Rhône Valley wine region.
  • B. Aude department
    The Aude department is an administrative region in southern France known for its historic towns, vineyards, and proximity to the Mediterranean coast.
  • C. Ain department
    Ain department is an administrative region in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • D. Marne department
    The Marne department is an administrative region in northeastern France, part of the Grand Est region, known for its Champagne vineyards and historic cities such as Reims and Châlons-en-Champagne.
  • E. Belval district
    Belval district is a modern urban quarter in Esch-sur-Alzette, Luxembourg, known for its transformation from a former steelworks site into a major hub for education, research, business, and culture.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa5afdc8190b709af2473d75d02 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c73e6048190a59a8d8bc12c907d completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:35 p.m.