Triple

T17766903
Position Surface form Disambiguated ID Type / Status
Subject Catford Bridge E443529 entity
Predicate adjacentStation P5707 FINISHED
Object Lower Sydenham NE NERFINISHED

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: Lower Sydenham | Statement: [Catford Bridge, adjacentStation, Lower Sydenham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lower Sydenham
Context triple: [Catford Bridge, adjacentStation, Lower Sydenham]
  • A. Lower Sydenham chosen
    Lower Sydenham is a suburban area in southeast London, England, known primarily as a residential district with its own railway station on the line between central London and Kent.
  • B. Sydenham Hill
    Sydenham Hill is a suburban area in south London known for its elevated position, green spaces, and historical association with the former Crystal Palace.
  • C. Sydenham ward
    Sydenham ward is an electoral division in the Sydenham area of London, used for local government representation and administration.
  • D. Putney Heath
    Putney Heath is a large area of heathland and woodland in southwest London, known for its open green space, wildlife, and historic associations with dueling and military encampments.
  • E. Baddeley Green
    Baddeley Green is a residential suburb in the city of Stoke-on-Trent, Staffordshire, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fccb9881908923564bf319f3c1 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.