Triple

T19457069
Position Surface form Disambiguated ID Type / Status
Subject Camborne E486761 entity
Predicate formerName P65 FINISHED
Object Cambron
Cambron is the former name of Camborne, a town in Cornwall, England known for its historic mining industry.
 E1462156 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: Cambron | Statement: [Camborne, formerName, Cambron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cambron
Context triple: [Camborne, formerName, Cambron]
  • A. Sergeac
    Sergeac is a small commune in southwestern France, known for its location in the prehistoric Vézère Valley rich in Paleolithic archaeological sites.
  • B. Ermontoise
    Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
  • C. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • D. Casseneuil
    Casseneuil is a small commune in southwestern France, located in the Lot-et-Garonne department in the Nouvelle-Aquitaine region.
  • E. Cambremer
    Cambremer is a small commune in northwestern France’s Normandy region, noted for its traditional cider production and picturesque Pays d’Auge countryside.
  • 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: Cambron
Triple: [Camborne, formerName, Cambron]
Generated description
Cambron is the former name of Camborne, a town in Cornwall, England known for its historic mining industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cambron
Target entity description: Cambron is the former name of Camborne, a town in Cornwall, England known for its historic mining industry.
  • A. Sergeac
    Sergeac is a small commune in southwestern France, known for its location in the prehistoric Vézère Valley rich in Paleolithic archaeological sites.
  • B. Ermontoise
    Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
  • C. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • D. Casseneuil
    Casseneuil is a small commune in southwestern France, located in the Lot-et-Garonne department in the Nouvelle-Aquitaine region.
  • E. Cambremer
    Cambremer is a small commune in northwestern France’s Normandy region, noted for its traditional cider production and picturesque Pays d’Auge countryside.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c4088881908f23f25a82a513f6 completed April 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a093b39e6708190af63c5b5b5bc5854 completed May 17, 2026, 3:51 a.m.
NEDg Description generation batch_6a093ff3cd208190874a2443dcc07ca8 completed May 17, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_6a094062d868819080708d1f49f269c8 completed May 17, 2026, 4:13 a.m.
Created at: April 10, 2026, 1:38 p.m.