Triple

T9545570
Position Surface form Disambiguated ID Type / Status
Subject Brecon E230273 entity
Predicate hasTwinTown P919 FINISHED
Object Gouesnou
Gouesnou is a commune in the Finistère department of Brittany in northwestern France, known for its Breton cultural heritage and proximity to the city of Brest.
 E808452 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: Gouesnou | Statement: [Brecon, hasTwinTown, Gouesnou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gouesnou
Context triple: [Brecon, hasTwinTown, Gouesnou]
  • A. La Guéroulde
    La Guéroulde is a small commune in northern France, located in the Eure department of the Normandy region.
  • B. Plouard
    Plouard was the architect responsible for designing the Pont de l'Archevêché bridge in Paris.
  • C. Mercurey
    Mercurey is a prominent village and appellation in Burgundy, France, renowned for its robust Pinot Noir wines and situated within the Côte Chalonnaise wine region.
  • D. Quimperlé
    Quimperlé is a historic town in the Finistère department of Brittany in northwestern France, known for its medieval architecture and picturesque setting at the confluence of three rivers.
  • E. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • 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: Gouesnou
Triple: [Brecon, hasTwinTown, Gouesnou]
Generated description
Gouesnou is a commune in the Finistère department of Brittany in northwestern France, known for its Breton cultural heritage and proximity to the city of Brest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gouesnou
Target entity description: Gouesnou is a commune in the Finistère department of Brittany in northwestern France, known for its Breton cultural heritage and proximity to the city of Brest.
  • A. La Guéroulde
    La Guéroulde is a small commune in northern France, located in the Eure department of the Normandy region.
  • B. Plouard
    Plouard was the architect responsible for designing the Pont de l'Archevêché bridge in Paris.
  • C. Mercurey
    Mercurey is a prominent village and appellation in Burgundy, France, renowned for its robust Pinot Noir wines and situated within the Côte Chalonnaise wine region.
  • D. Quimperlé
    Quimperlé is a historic town in the Finistère department of Brittany in northwestern France, known for its medieval architecture and picturesque setting at the confluence of three rivers.
  • E. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9901f2bc8190a4076f5947660df9 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161355e2c819099c8e6b974f97608 completed April 4, 2026, 7:06 p.m.
NEDg Description generation batch_69d16230a99481909d82d03babe6729a completed April 4, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69d16321aba88190a7e8359dbaa5362b completed April 4, 2026, 7:14 p.m.
Created at: March 30, 2026, 8:01 p.m.