Triple

T1043713
Position Surface form Disambiguated ID Type / Status
Subject Farnham E22526 entity
Predicate hasArea P175 FINISHED
Object Heath End
Heath End is a suburban area and residential locality within the town of Farnham in Surrey, England.
 E120588 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: Heath End | Statement: [Farnham, hasArea, Heath End]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heath End
Context triple: [Farnham, hasArea, Heath End]
  • A. Heathfield
    Heathfield is a district in Birmingham, England, historically notable as the place where pioneering engineer James Watt spent his final years and died.
  • B. Englefield Green
    Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
  • C. Redhill
    Redhill is a commuter town in southeast England known for its transport links and proximity to London within the county of Surrey.
  • D. Blackheath
    Blackheath is a historic village and popular tourist stop in the Blue Mountains of New South Wales, Australia, known for its dramatic cliffs, lookouts, and bushwalking trails.
  • E. Beckenham
    Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
  • 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: Heath End
Triple: [Farnham, hasArea, Heath End]
Generated description
Heath End is a suburban area and residential locality within the town of Farnham in Surrey, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heath End
Target entity description: Heath End is a suburban area and residential locality within the town of Farnham in Surrey, England.
  • A. Heathfield
    Heathfield is a district in Birmingham, England, historically notable as the place where pioneering engineer James Watt spent his final years and died.
  • B. Englefield Green
    Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
  • C. Redhill
    Redhill is a commuter town in southeast England known for its transport links and proximity to London within the county of Surrey.
  • D. Blackheath
    Blackheath is a historic village and popular tourist stop in the Blue Mountains of New South Wales, Australia, known for its dramatic cliffs, lookouts, and bushwalking trails.
  • E. Beckenham
    Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8475ab48190848388eea6448cb6 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc97dec81909b6ad48e3f203923 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c42c2c081909ccadbf944d3aa6c completed March 7, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69ac3cbd43848190854add440753fdad completed March 7, 2026, 2:57 p.m.
Created at: March 1, 2026, 7:42 p.m.