Triple

T4891748
Position Surface form Disambiguated ID Type / Status
Subject Ariège E109578 entity
Predicate partOf P40 FINISHED
Object French Pyrenees E7087 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: French Pyrenees | Statement: [Ariège, partOf, French Pyrenees]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Pyrenees
Context triple: [Ariège, partOf, French Pyrenees]
  • A. Pyrenees chosen
    The Pyrenees are a major mountain range in southwest Europe forming a natural border between France and Spain, known for their rugged peaks, scenic valleys, and popular hiking and skiing areas.
  • B. Montagne Noire
    Montagne Noire is a mountain range in southern France known for its forested slopes, rich water resources, and role as a key watershed feeding regional rivers and canals.
  • C. Espinouse massif
    The Espinouse massif is a mountainous area in southern France known for its rugged landscapes, forests, and outdoor recreation within the Haut-Languedoc region.
  • D. Morvan Massif
    The Morvan Massif is a heavily forested highland region in central France known for its rounded granite hills, lakes, and protected natural landscapes.
  • E. Midi-Pyrénées
    Midi-Pyrénées was a former administrative region in southwestern France, centered on Toulouse and known for its diverse landscapes and rich Occitan cultural heritage.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e2444dc819088d5562e90d16d9b completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77975ad08190a427bcf1c01e364f completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:28 p.m.