Triple

T3191738
Position Surface form Disambiguated ID Type / Status
Subject Rhône delta E66838 entity
Predicate locatedIn P40 FINISHED
Object Gard department E90724 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: Gard department | Statement: [Rhône delta, locatedIn, Gard department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gard department
Context triple: [Rhône delta, locatedIn, Gard department]
  • A. Gard department chosen
    Gard department is an administrative region in southern France known for its Mediterranean landscapes, historic Roman sites such as the Pont du Gard, and the city of Nîmes.
  • 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. Eure department
    The Eure department is an administrative region in northern France’s Normandy known for its rural landscapes, historic towns, and cultural sites such as Claude Monet’s garden at Giverny.
  • D. 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.
  • E. Oise department
    Oise department is an administrative division in northern France, located in the Hauts-de-France region and known for its historic towns, forests, and proximity to Paris.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e8e4b48190bc7c6443fc6da900 completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24ba19b2881908a298e6fb99a058e completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.