Triple

T13585746
Position Surface form Disambiguated ID Type / Status
Subject Benhall Green E324554 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Benhall E324553 NE FINISHED

How this triple was built (2 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: Benhall | Statement: [Benhall Green, hasNearbySettlement, Benhall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benhall
Context triple: [Benhall Green, hasNearbySettlement, Benhall]
  • A. Benhall chosen
    Benhall is a small village and civil parish located in the English county of Suffolk.
  • B. Barholm
    Barholm is a small village and civil parish in Lincolnshire, England, known for its rural character and historic parish church.
  • C. Benthall
    Benthall is a small village in Shropshire, England, known for its historic Benthall Hall and rural surroundings near the town of Broseley.
  • D. Whinhall
    Whinhall is a residential neighbourhood within the town of Airdrie in North Lanarkshire, Scotland.
  • E. Harrodstown
    Harrodstown was the original pioneer settlement that later became Harrodsburg, recognized as one of the earliest permanent European-American communities in Kentucky.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03310fc819092a56b9f2d73f560 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8deae88190b932a57789c70e77 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.