Triple

T11909241
Position Surface form Disambiguated ID Type / Status
Subject Tower Hill E283350 entity
Predicate servedByLine P1293 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: [Tower Hill, servedByLine, District line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: District line
Context triple: [Tower Hill, servedByLine, 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e5278eb081909a7ecfe38beeeda9 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f418543258819083b49a5bbdc520cd completed May 1, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:44 p.m.