Triple

T14078167
Position Surface form Disambiguated ID Type / Status
Subject Penrith E338793 entity
Predicate nearbySuburb P41355 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: [Penrith, nearbySuburb, Kingswood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingswood
Context triple: [Penrith, nearbySuburb, 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5e027881908f610f5bab7598d4 completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a175a48190b596ea4cf917e80e completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.