Triple

T21350599
Position Surface form Disambiguated ID Type / Status
Subject Doué-en-Anjou E526465 entity
Predicate formedByMergerOf P77 FINISHED
Object Brigné
Brigné is a former commune in the Maine-et-Loire department of western France that was incorporated into the new municipality of Doué-en-Anjou.
E1479761 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: Brigné | Statement: [Doué-en-Anjou, formedByMergerOf, Brigné]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brigné
Context triple: [Doué-en-Anjou, formedByMergerOf, Brigné]
  • A. Burtigny
    Burtigny is a small rural municipality in the canton of Vaud in western Switzerland, situated in the foothills above Lake Geneva.
  • B. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • C. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • D. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • E. Marloie
    Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
  • 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: Brigné
Triple: [Doué-en-Anjou, formedByMergerOf, Brigné]
Generated description
Brigné is a former commune in the Maine-et-Loire department of western France that was incorporated into the new municipality of Doué-en-Anjou.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brigné
Target entity description: Brigné is a former commune in the Maine-et-Loire department of western France that was incorporated into the new municipality of Doué-en-Anjou.
  • A. Burtigny
    Burtigny is a small rural municipality in the canton of Vaud in western Switzerland, situated in the foothills above Lake Geneva.
  • B. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • C. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • D. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • E. Marloie
    Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8ad31087481909d41e9d28286f04d completed April 22, 2026, 11:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09ad5e14188190a55aed4c72b72162 completed May 17, 2026, 11:58 a.m.
NEDg Description generation batch_6a09adf244d481908bb02f99844f1cd0 completed May 17, 2026, noon
NED2 Entity disambiguation (via description) batch_6a09ae91d9cc8190a677124f1a0e1e4e completed May 17, 2026, 12:03 p.m.
Created at: April 16, 2026, 5:04 p.m.