Triple

T13809077
Position Surface form Disambiguated ID Type / Status
Subject Montagne Noire E331835 entity
Predicate locatedInDepartment P40 FINISHED
Object Haute-Garonne E94156 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: Haute-Garonne | Statement: [Montagne Noire, locatedInDepartment, Haute-Garonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haute-Garonne
Context triple: [Montagne Noire, locatedInDepartment, Haute-Garonne]
  • A. Haute-Garonne chosen
    Haute-Garonne is a department in southwestern France, known for its capital city Toulouse and its location spanning from the Pyrenees mountains to the Garonne River valley.
  • B. Tarn-et-Garonne
    Tarn-et-Garonne is a department in the Occitanie region of southern France, known for its agricultural landscapes, historic towns, and location along the Garonne and Tarn rivers.
  • C. Hérault
    Hérault is a department in southern France known for its Mediterranean coastline, vineyards, and historic cities such as Montpellier and Béziers.
  • D. Hautes-Pyrénées
    Hautes-Pyrénées is a department in southwestern France, known for its mountainous landscapes in the Pyrenees and popular pilgrimage site of Lourdes.
  • E. Haut-Médoc
    Haut-Médoc is a renowned subregion of Bordeaux in southwestern France, known for producing structured, age-worthy red wines primarily from Cabernet Sauvignon and Merlot.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026eae8481908b8880635e6a9152 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd27f6afb4819081cce9ad37b1a0f8 completed May 8, 2026, 12:01 a.m.
Created at: April 9, 2026, 10:12 p.m.