Triple

T6958994
Position Surface form Disambiguated ID Type / Status
Subject Conseil municipal de Thônex E161318 entity
Predicate headquartersLocation P62 FINISHED
Object Thônex E31639 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: Thônex | Statement: [Conseil municipal de Thônex, headquartersLocation, Thônex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thônex
Context triple: [Conseil municipal de Thônex, headquartersLocation, Thônex]
  • A. Thônex chosen
    Thônex is a municipality in western Switzerland that forms part of the suburban area of Geneva near the French border.
  • B. Peize
    Peize is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Noordenveld.
  • C. Troyon
    Troyon is a French surname most notably associated with Constant Troyon, a 19th-century landscape and animal painter of the Barbizon school.
  • D. Lezoux
    Lezoux is a commune in central France’s Puy-de-Dôme department, known historically for its significant Roman pottery production.
  • E. Thalle
    Thalle is a small settlement located within the remote Shigar Valley in the mountainous Gilgit-Baltistan region of northern Pakistan.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daedbb4c8190b46846fb1265b937 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7942eeb288190acad3bf999a6ea2e completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:29 p.m.