Triple

T4066150
Position Surface form Disambiguated ID Type / Status
Subject department of Doubs E86327 entity
Predicate subprefecture P9697 FINISHED
Object Pontarlier
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.
 E448295 NE FINISHED

How this triple was built (4 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: [department of Doubs, subprefecture, Pontarlier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pontarlier
Context triple: [department of Doubs, subprefecture, Pontarlier]
  • A. Pougny
    Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • B. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • C. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • D. Plombières
    Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
  • E. Boulzane
    Boulzane is a river in southern France that serves as a tributary of the Agly.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pontarlier
Triple: [department of Doubs, subprefecture, Pontarlier]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pontarlier
Target entity description: 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.
  • A. Pougny
    Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • B. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • C. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • D. Plombières
    Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
  • E. Boulzane
    Boulzane is a river in southern France that serves as a tributary of the Agly.
  • F. None of above. chosen

Provenance (5 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbf58d9c8190936e453b0d397cb0 completed March 9, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f60b49481908b2199544868769c completed March 20, 2026, 5:09 p.m.
NEDg Description generation batch_69bd84bae7148190ae201ea5257dd43e completed March 20, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69bd857181e4819086b7d0b493fbb9a3 completed March 20, 2026, 5:35 p.m.
Created at: March 9, 2026, 3:38 p.m.