Triple

T4314591
Position Surface form Disambiguated ID Type / Status
Subject Haute-Garonne E94156 entity
Predicate contains P35 FINISHED
Object Muret E95319 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: Muret | Statement: [Haute-Garonne, contains, Muret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muret
Context triple: [Haute-Garonne, contains, Muret]
  • A. Muret chosen
    Muret is a commune in southwestern France, near Toulouse, known for its historical Battle of Muret in 1213 and its role within the Haute-Garonne department of the Occitanie region.
  • B. Eyraud
    Eyraud is a French surname most notably borne by Eugène Eyraud, a 19th-century missionary known for his work on Easter Island.
  • 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. Hautefort
    Hautefort is a historic castle and commune in southwestern France, renowned as the medieval stronghold of the troubadour and nobleman Bertrand de Born.
  • E. La Dôle
    La Dôle is a prominent mountain peak in the Jura range of western Switzerland, known for its panoramic views over Lake Geneva and the Alps and for hosting telecommunications and weather facilities near its summit.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350f4448481908be2c7df9cc71bb9 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d08245408190b1ce584c636bf168 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:12 p.m.