Triple

T14647777
Position Surface form Disambiguated ID Type / Status
Subject canton of Ornans E343898 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Épeugney
Épeugney is a small French commune located in the Doubs department in the Bourgogne-Franche-Comté region of eastern France.
E1111901 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: Épeugney | Statement: [canton of Ornans, containsAdministrativeTerritorialEntity, Épeugney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Épeugney
Context triple: [canton of Ornans, containsAdministrativeTerritorialEntity, Épeugney]
  • A. Épagne
    Épagne is a small commune in the Aube department of north-central France.
  • B. Parempuyre
    Parempuyre is a commune in southwestern France known for its location near Bordeaux and its role in the Médoc wine-producing region.
  • C. Beaujeu
    Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
  • D. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • E. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • 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: Épeugney
Triple: [canton of Ornans, containsAdministrativeTerritorialEntity, Épeugney]
Generated description
Épeugney is a small French commune located in the Doubs department in the Bourgogne-Franche-Comté region of eastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Épeugney
Target entity description: Épeugney is a small French commune located in the Doubs department in the Bourgogne-Franche-Comté region of eastern France.
  • A. Épagne
    Épagne is a small commune in the Aube department of north-central France.
  • B. Parempuyre
    Parempuyre is a commune in southwestern France known for its location near Bordeaux and its role in the Médoc wine-producing region.
  • C. Beaujeu
    Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
  • D. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • E. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ebe8048190a2935d00c9cfd8be completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d7915c8190ae690810110c0b60 completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd79da64c8190b6ab426b2808e23f completed May 8, 2026, 12:31 p.m.
NED2 Entity disambiguation (via description) batch_69fdd85637148190a69211e72b1230d9 completed May 8, 2026, 12:34 p.m.
Created at: April 10, 2026, 1:26 a.m.