Triple

T18277605
Position Surface form Disambiguated ID Type / Status
Subject Founex E437777 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Tannay NE NERFINISHED

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: Tannay | Statement: [Founex, hasNeighbouringMunicipality, Tannay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tannay
Context triple: [Founex, hasNeighbouringMunicipality, Tannay]
  • A. Tannay chosen
    Tannay is a small lakeside municipality in the canton of Vaud in western Switzerland, situated on the shores of Lake Geneva.
  • B. Radaur
    Radaur is a town in the Yamunanagar district of Haryana, India, known primarily as a local commercial and educational center for surrounding rural areas.
  • C. Teigne
    Teigne is the traditional title held by the monarch of the Serer kingdom of Baol in what is now Senegal.
  • D. Lornay
    Lornay is a small French commune located in the Haute-Savoie department in southeastern France.
  • E. Boraine
    Boraine is a South African surname most notably associated with Alex Boraine, an anti-apartheid activist and co-founder of the country’s Truth and Reconciliation Commission.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50053cc808190b46a3ec9d96936fe completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.