Triple

T17117714
Position Surface form Disambiguated ID Type / Status
Subject Canton of Annecy-le-Vieux E415382 entity
Predicate contains P35 FINISHED
Object Pringy E1235451 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: Pringy | Statement: [Canton of Annecy-le-Vieux, contains, Pringy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pringy
Context triple: [Canton of Annecy-le-Vieux, contains, Pringy]
  • A. Pringy chosen
    Pringy is a commune in southeastern France that forms part of the urban area around the city of Annecy in the Haute-Savoie department.
  • B. Pringi
    Pringi is a small coastal village in northern Estonia, located within Viimsi Parish near the capital city of Tallinn.
  • C. Pervyse
    Pervyse is a village in West Flanders, Belgium, known for its location on the World War I Yser Front and the heavy fighting that took place there.
  • D. Priller
    Priller is a German surname most notably associated with Josef Priller, a famous Luftwaffe fighter ace of World War II.
  • E. Prye
    Prye is an alternative transliteration of Pyay, a historic city in central Myanmar located on the Irrawaddy River.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e8075a6c8190954d36eb94d1028a completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a0b69108190ba3ba6ba7f8d3935 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.