Triple

T9782412
Position Surface form Disambiguated ID Type / Status
Subject Welling E237407 entity
Predicate locatedNear P294 FINISHED
Object Abbey Wood E293573 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: Abbey Wood | Statement: [Welling, locatedNear, Abbey Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbey Wood
Context triple: [Welling, locatedNear, Abbey Wood]
  • A. Abbey Wood chosen
    Abbey Wood is a district in southeast London that serves as a key transport hub and residential area, notably functioning as the southeastern terminus of the Elizabeth line.
  • B. Parrs Wood
    Parrs Wood is an area in south Manchester, England, known for its large entertainment and leisure complex and the historic Parrs Wood High School.
  • C. Colliers Wood
    Colliers Wood is a residential and commercial district in southwest London known for its shopping facilities, green spaces, and Underground station on the Northern line.
  • D. Highgate Wood
    Highgate Wood is an ancient semi-natural woodland and public park in North London, known for its rich biodiversity, historic character, and recreational facilities.
  • E. Petts Wood
    Petts Wood is a suburban residential area in southeast London known for its commuter links, green spaces, and surrounding ancient woodland.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b5714481908bf74b8bf3e4e6e8 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c41b31b08190937f374c2d51aa1b completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.