Triple

T16297236
Position Surface form Disambiguated ID Type / Status
Subject Marylebone E395679 entity
Predicate hasTransportNode P2413 FINISHED
Object Marylebone station E252427 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: Marylebone station | Statement: [Marylebone, hasTransportNode, Marylebone station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marylebone station
Context triple: [Marylebone, hasTransportNode, Marylebone station]
  • A. Marylebone station chosen
    Marylebone station is a central London railway terminus and London Underground station serving Chiltern Railways services and the Bakerloo line.
  • B. Regent’s Park station
    Regent’s Park station is a London Underground station on the Bakerloo line, located near Regent’s Park and the Marylebone area in central London.
  • C. Edgware Road Station
    Edgware Road Station is a London Underground station in central London serving multiple Tube lines and acting as a key interchange near Paddington.
  • D. Vauxhall Station
    Vauxhall Station is a major transport hub in south London that serves both National Rail services and the London Underground on the Victoria line.
  • E. Cannon Street station
    Cannon Street station is a central London railway terminus and London Underground station serving commuter routes in and out of the City of 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2f486c8190b73c15f59335cde2 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01e7ff14dc819086042db64d41f5c2 completed May 11, 2026, 2:30 p.m.
Created at: April 10, 2026, 5:06 a.m.