Triple

T3726440
Position Surface form Disambiguated ID Type / Status
Subject K Line E81760 entity
Predicate connectsTo P845 FINISHED
Object E Line E81528 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: E Line | Statement: [K Line, connectsTo, E Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E Line
Context triple: [K Line, connectsTo, E Line]
  • A. E Line chosen
    The E Line is a light rail route in the Los Angeles Metro Rail system that connects downtown Los Angeles with communities to the west, including Santa Monica.
  • B. Riviera Line
    The Riviera Line is a scenic railway route in Devon, England, running along the coast and serving popular seaside towns between Exeter and Paignton.
  • C. B Line
    The B Line is a heavy-rail subway line in the Los Angeles Metro Rail system that runs primarily beneath Hollywood and Downtown Los Angeles.
  • D. San Martín Line
    The San Martín Line is a commuter rail service in the Buenos Aires metropolitan area that links the city center with western suburbs.
  • E. Ashton Line
    The Ashton Line is a light-rail route on Greater Manchester’s Metrolink network that runs between Manchester city centre and Ashton-under-Lyne.
  • 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf669d48190852aaeef70265404 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db1102a08190b5965c474dfab6db completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:34 p.m.