Triple

T15239536
Position Surface form Disambiguated ID Type / Status
Subject Tercis-les-Bains E364217 entity
Predicate locatedNear P294 FINISHED
Object Dax E687116 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: Dax | Statement: [Tercis-les-Bains, locatedNear, Dax]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dax
Context triple: [Tercis-les-Bains, locatedNear, Dax]
  • A. Dax chosen
    Dax is a commune in southwestern France known for its thermal spas and historic Roman heritage.
  • B. Darel
    Darel is a given name, typically a variant spelling of Daryl, used for both males and females.
  • C. Trandal
    Trandal is a small, scenic village in western Norway, known for its dramatic fjord landscape and location along the Hjørundfjord.
  • D. Dakku
    Dakku was one of the wives of famed Sherpa mountaineer Tenzing Norgay, who helped support his family life during his historic climbing career.
  • E. Arkel
    Arkel is the elderly, blind King of Allemonde in Claude Debussy’s opera "Pelléas et Mélisande," embodying wisdom and tragic resignation amid the drama’s unfolding passions.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007db9a148190aadea8d5f8b6b261 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3f9d308190af5374f0362c62f5 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.