Triple

T7406609
Position Surface form Disambiguated ID Type / Status
Subject Arbois E170886 entity
Predicate locatedNear P294 FINISHED
Object Poligny
Poligny is a small town in France’s Jura department, known for its historic architecture and as a center of Comté cheese production.
 E683926 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: Poligny | Statement: [Arbois, locatedNear, Poligny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Poligny
Context triple: [Arbois, locatedNear, Poligny]
  • A. Potigny
    Potigny is a commune in the Calvados department of the Normandy region in northwestern France.
  • B. Pougny
    Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • C. Pontigny
    Pontigny is a French village best known for its historic Cistercian abbey, one of the earliest and largest of the order.
  • D. Commugny
    Commugny is a small Swiss municipality in the canton of Vaud, located near Lake Geneva and close to the city of Geneva.
  • E. Plombières
    Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
  • 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: Poligny
Triple: [Arbois, locatedNear, Poligny]
Generated description
Poligny is a small town in France’s Jura department, known for its historic architecture and as a center of Comté cheese production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Poligny
Target entity description: Poligny is a small town in France’s Jura department, known for its historic architecture and as a center of Comté cheese production.
  • A. Potigny
    Potigny is a commune in the Calvados department of the Normandy region in northwestern France.
  • B. Pougny
    Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • C. Pontigny
    Pontigny is a French village best known for its historic Cistercian abbey, one of the earliest and largest of the order.
  • D. Commugny
    Commugny is a small Swiss municipality in the canton of Vaud, located near Lake Geneva and close to the city of Geneva.
  • E. Plombières
    Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f275c6e481908b4ce9ff1e418296 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4e3181481909eec1a09ae295923 completed March 29, 2026, 5:13 a.m.
NEDg Description generation batch_69c8b61e0c308190b3231fab20bad278 completed March 29, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69c8b675ddb0819085d79dbba560d08f completed March 29, 2026, 5:19 a.m.
Created at: March 27, 2026, 3:10 p.m.