Triple

T3105985
Position Surface form Disambiguated ID Type / Status
Subject Gers E64830 entity
Predicate sharesNameWith P15168 FINISHED
Object Gers (department) E327978 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: Gers (department) | Statement: [Gers, sharesNameWith, Gers (department)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gers (department)
Context triple: [Gers, sharesNameWith, Gers (department)]
  • A. Gers (department) chosen
    Gers is a rural department in southwestern France, known for its rolling countryside, Armagnac brandy, and traditional Gascon culture.
  • B. Gard department
    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.
  • C. Aude department
    The Aude department is an administrative region in southern France known for its historic towns, vineyards, and proximity to the Mediterranean coast.
  • 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. Vosges department
    The Vosges department is an administrative region in northeastern France known for its forested mountains, lakes, and role as the source area for several rivers.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29beff08190b6e1eb6b0608d0eb completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f5994088190abc4b56040922c16 completed March 12, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:04 p.m.