Triple

T4301199
Position Surface form Disambiguated ID Type / Status
Subject Hautes-Pyrénées E99839 entity
Predicate contains P35 FINISHED
Object Gavarnie E56555 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: Gavarnie | Statement: [Hautes-Pyrénées, contains, Gavarnie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gavarnie
Context triple: [Hautes-Pyrénées, contains, Gavarnie]
  • A. Vallée de Gavarnie chosen
    Vallée de Gavarnie is a renowned glacial valley in the French Pyrenees, famous for its dramatic cirque, towering cliffs, and spectacular waterfalls.
  • B. Gave de Gavarnie river
    The Gave de Gavarnie is a mountain river in the central French Pyrenees that drains the famous Cirque de Gavarnie and feeds into the Gave de Pau.
  • C. Gave d’Ossau
    Gave d’Ossau is a mountain river in the French Pyrenees that drains the Ossau Valley and contributes to the Gave de Pau watershed.
  • D. Gorges de l’Areuse
    Gorges de l’Areuse is a dramatic river gorge in the Swiss canton of Neuchâtel, known for its narrow rock passages, waterfalls, and scenic hiking trails.
  • E. Vatry
    Vatry is a small commune in the Marne department of northeastern France, known primarily for hosting the nearby Châlons Vatry Airport.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509fb2b88190a13ab88a5b924052 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0774d388190aaff15f528fe1bc2 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:08 p.m.