Triple

T14616227
Position Surface form Disambiguated ID Type / Status
Subject Borough Green E343092 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Wrotham E338958 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: Wrotham | Statement: [Borough Green, hasNeighbouringSettlement, Wrotham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wrotham
Context triple: [Borough Green, hasNeighbouringSettlement, Wrotham]
  • A. Wrotham chosen
    Wrotham is a historic village in Kent, England, known for its traditional architecture and rural setting near the North Downs.
  • B. Isleworth
    Isleworth is a suburban town in West London, England, known for hosting major media and broadcasting facilities.
  • C. Westerham
    Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
  • D. Wrotham Heath
    Wrotham Heath is a small village in Kent, England, known for its rural setting and proximity to major transport routes like the M20 and A20.
  • E. Walton-on-Thames
    Walton-on-Thames is a suburban town on the River Thames in southeast England, known for its commuter links to London and riverside amenities.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46439b88190a4affcc7ccedab6b completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5cbcf08819084313bf28f0bb3e1 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:25 a.m.