Triple

T4930874
Position Surface form Disambiguated ID Type / Status
Subject Temple area, London E110690 entity
Predicate servedBy P82 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: [Temple area, London, servedBy, Circle line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Circle line
Context triple: [Temple area, London, servedBy, 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. Circles
    "Circles" is a song featured on Bill Callahan's album "Shepherd in a Sheepskin Vest."
  • D. 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.
  • E. Circles
    "Circles" is a transcendentalist essay by Ralph Waldo Emerson that explores the ever-expanding nature of human experience, knowledge, and spiritual growth through the metaphor of concentric circles.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd706245e48190a61d573438461c30 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77b18b6c8190bbc8d0764f6a03bf completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.