Triple

T13556578
Position Surface form Disambiguated ID Type / Status
Subject Ealing Common station E323789 entity
Predicate hasDepotNearby P5648 FINISHED
Object Ealing Common Depot E295252 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: Ealing Common Depot | Statement: [Ealing Common station, hasDepotNearby, Ealing Common Depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ealing Common Depot
Context triple: [Ealing Common station, hasDepotNearby, Ealing Common Depot]
  • A. Ealing Common Depot chosen
    Ealing Common Depot is a London Underground maintenance and stabling facility serving primarily the District line in west London.
  • B. Cricklewood depot
    Cricklewood depot is a railway maintenance and stabling facility in the Cricklewood area of north-west London, serving trains on the Midland Main Line and surrounding routes.
  • C. Hammersmith depot
    Hammersmith depot is a London Underground maintenance and stabling facility primarily serving the Circle and Hammersmith & City lines.
  • D. Golders Green depot
    Golders Green depot is a major London Underground maintenance and stabling facility serving trains on the Northern line.
  • E. Hainault depot
    Hainault depot is a major London Underground maintenance and stabling facility serving trains on the Central line in northeast London.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff3063c8190bd20149b3f7df352 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da95b7c8190af4fae155f01d3af completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.