Triple

T1814008
Position Surface form Disambiguated ID Type / Status
Subject County Durham E40394 entity
Predicate contains P35 FINISHED
Object Consett
Consett is a town in north-west County Durham, England, historically known for its steelworks and industrial heritage.
 E204561 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: Consett | Statement: [County Durham, contains, Consett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Consett
Context triple: [County Durham, contains, Consett]
  • A. Colne
    Colne is a historic market town in Lancashire, England, known for its textile heritage and location near the Pennine hills.
  • B. Stockton-on-Tees
    Stockton-on-Tees is a market town and borough in North East England, historically part of County Durham, known for its role in the early development of the railway and its position along the River Tees.
  • C. Litherland
    Litherland is a suburban town in Merseyside, England, situated to the north of Liverpool within its wider urban area.
  • D. Belper
    Belper is a historic industrial town in central England, noted for its role in the early cotton mill industry and as part of the Derwent Valley Mills World Heritage Site.
  • E. Adlington
    Adlington is a small town in Lancashire, England, situated near Horwich and known historically for its role in the region’s textile and coal industries.
  • 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: Consett
Triple: [County Durham, contains, Consett]
Generated description
Consett is a town in north-west County Durham, England, historically known for its steelworks and industrial heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Consett
Target entity description: Consett is a town in north-west County Durham, England, historically known for its steelworks and industrial heritage.
  • A. Colne
    Colne is a historic market town in Lancashire, England, known for its textile heritage and location near the Pennine hills.
  • B. Stockton-on-Tees
    Stockton-on-Tees is a market town and borough in North East England, historically part of County Durham, known for its role in the early development of the railway and its position along the River Tees.
  • C. Litherland
    Litherland is a suburban town in Merseyside, England, situated to the north of Liverpool within its wider urban area.
  • D. Belper
    Belper is a historic industrial town in central England, noted for its role in the early cotton mill industry and as part of the Derwent Valley Mills World Heritage Site.
  • E. Adlington
    Adlington is a small town in Lancashire, England, situated near Horwich and known historically for its role in the region’s textile and coal industries.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c905ec8190bea7cd72d218487a completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf5b1dbc8190a57430bf129173e4 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc0a3fdd88190b0ffa98db1b5cf80 completed March 8, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69adc1304a808190a999e71dfa39162a completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:32 p.m.