Triple

T7506618
Position Surface form Disambiguated ID Type / Status
Subject Tower Hill station E177405 entity
Predicate servedByLine P1293 FINISHED
Object Circle line E59707 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: Circle line | Statement: [Tower Hill station, servedByLine, Circle line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Circle line
Context triple: [Tower Hill station, servedByLine, Circle line]
  • A. Circle line chosen
    The Circle line is a central London Underground route forming a loop through key districts and interchanges in the city’s transport network.
  • B. Circular line
    The Circular line is a driverless rapid transit line in the Taipei Metro system that forms a loop connecting multiple districts around the city.
  • C. Circular line
    Circular line is the nickname for Line 6 of the Madrid Metro, a heavily used underground route that forms a loop around central Madrid.
  • D. Circles
    "Circles" is a song featured on Bill Callahan's album "Shepherd in a Sheepskin Vest."
  • E. Circles
    "Circles" is a melodic pop-rap song by American artist Post Malone, known for its mellow guitar-driven sound and introspective lyrics about a cyclical, failing relationship.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b76a288190bb3608a5e3bfa212 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83ca243288190bb253f4d91701407 completed March 28, 2026, 8:40 p.m.
Created at: March 27, 2026, 3:45 p.m.