Triple

T7302156
Position Surface form Disambiguated ID Type / Status
Subject Farringdon E167882 entity
Predicate connectsTo P845 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: [Farringdon, connectsTo, Abbey Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbey Wood
Context triple: [Farringdon, connectsTo, 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. Petts Wood
    Petts Wood is a suburban residential area in southeast London known for its commuter links, green spaces, and surrounding ancient woodland.
  • D. Hinchley Wood
    Hinchley Wood is a suburban residential area in Surrey, England, known for its commuter links to London and proximity to green spaces.
  • E. Honor Oak
    Honor Oak is a residential district in southeast London known for its leafy streets, hilltop views, and proximity to large green spaces such as One Tree Hill and Blythe Hill Fields.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb09164819099c4479d48c1688a completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e558098c819091562566c59332e2 completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3:01 p.m.