Triple

T20976720
Position Surface form Disambiguated ID Type / Status
Subject Cluse de Pontarlier E516645 entity
Predicate near P350 FINISHED
Object Pontarlier 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: Pontarlier | Statement: [Cluse de Pontarlier, near, Pontarlier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pontarlier
Context triple: [Cluse de Pontarlier, near, Pontarlier]
  • A. Pontarlier chosen
    Pontarlier is a historic town in eastern France near the Swiss border, known for its role in the absinthe industry and its location in the Jura Mountains.
  • B. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • C. Potigny
    Potigny is a commune in the Calvados department of the Normandy region in northwestern France.
  • D. Pougny
    Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • E. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba4a0dc819083b90795d26adfff completed April 21, 2026, 4:23 a.m.
Created at: April 16, 2026, 1:47 p.m.