Triple

T13173099
Position Surface form Disambiguated ID Type / Status
Subject South Kensington E313026 entity
Predicate servesLine P839 FINISHED
Object District line E60293 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: District line | Statement: [South Kensington, servesLine, District line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: District line
Context triple: [South Kensington, servesLine, District line]
  • A. District line chosen
    The District line is a major London Underground service running across central and western London, known for its green color on the Tube map and extensive coverage of suburban areas.
  • B. District line (London Underground)
    The District line is a major London Underground line running across the city from east to west, serving numerous suburban areas and key central London destinations.
  • C. Northern line
    The Northern line is a major London Underground route running north–south across the city, serving key central and suburban areas.
  • D. South London Line
    The South London Line is a suburban railway route in south London that connects several inner-city districts and provides key commuter services across the area.
  • E. Metropolitan line
    The Metropolitan line is one of the oldest lines of the London Underground, running from central London into the northwestern suburbs and beyond.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2f22b881908a0af3af0a0af971 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf06f408190949f9ed5e899815b completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:14 p.m.