Triple

T15102790
Position Surface form Disambiguated ID Type / Status
Subject Longwell Green E360710 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Kingswood E345925 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: Kingswood | Statement: [Longwell Green, hasNeighbouringSettlement, Kingswood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingswood
Context triple: [Longwell Green, hasNeighbouringSettlement, Kingswood]
  • A. Kingswood chosen
    Kingswood is a suburban town in South Gloucestershire, England, forming part of the greater Bristol urban area.
  • B. Kingswood
    Kingswood is a suburban area in southwest Dublin, Ireland, served by the Luas light rail system.
  • C. Kingswood
    Kingswood is a suburban residential area in the borough of Reigate and Banstead in Surrey, England, known for its leafy streets and affluent character.
  • D. Pelhamwood
    Pelhamwood is a historic residential neighborhood in Pelham, New York, known for its early 20th-century suburban design and distinctive period architecture.
  • E. Peterswood
    Peterswood is the fictional English village that serves as the primary setting for Enid Blyton’s "Five Find-Outers" mystery series.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00551521c8190b48d1a074bb4bdfc completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae274f6881908931569efc09996e completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:05 a.m.