Triple

T13120758
Position Surface form Disambiguated ID Type / Status
Subject Irancy AOC E311712 entity
Predicate namedAfter P63 FINISHED
Object Irancy (commune)
Irancy is a small wine-producing commune in the Yonne department of Burgundy, France, renowned for its red wines made primarily from Pinot Noir.
 E1022838 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: Irancy (commune) | Statement: [Irancy AOC, namedAfter, Irancy (commune)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Irancy (commune)
Context triple: [Irancy AOC, namedAfter, Irancy (commune)]
  • A. Tourigny
    Tourigny is a French-language surname of likely French-Canadian origin borne by various notable individuals, including in sports and public life.
  • B. Arlay
    Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
  • C. Leyssins
    Leyssins is a small river or stream associated with the area of Chambéry in southeastern France.
  • D. Chambry
    Chambry is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • E. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • 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: Irancy (commune)
Triple: [Irancy AOC, namedAfter, Irancy (commune)]
Generated description
Irancy is a small wine-producing commune in the Yonne department of Burgundy, France, renowned for its red wines made primarily from Pinot Noir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Irancy (commune)
Target entity description: Irancy is a small wine-producing commune in the Yonne department of Burgundy, France, renowned for its red wines made primarily from Pinot Noir.
  • A. Tourigny
    Tourigny is a French-language surname of likely French-Canadian origin borne by various notable individuals, including in sports and public life.
  • B. Arlay
    Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
  • C. Leyssins
    Leyssins is a small river or stream associated with the area of Chambéry in southeastern France.
  • D. Chambry
    Chambry is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • E. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98196e69081909111407ee3d9f08e completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e286de608190bf46af2eb656bb79 completed May 3, 2026, 5:52 a.m.
NEDg Description generation batch_69f6e42cd5408190b687dfae73e2a720 completed May 3, 2026, 5:59 a.m.
NED2 Entity disambiguation (via description) batch_69f6e5293ee481908d9a90266ac5c3e6 completed May 3, 2026, 6:03 a.m.
Created at: April 9, 2026, 9:06 p.m.