Triple

T1812887
Position Surface form Disambiguated ID Type / Status
Subject Metro E Line E40367 entity
Predicate connectsWith P37 FINISHED
Object K Line E81760 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: K Line | Statement: [Metro E Line, connectsWith, K Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K Line
Context triple: [Metro E Line, connectsWith, K Line]
  • A. K Line chosen
    K Line is a light rail route in the Los Angeles Metro Rail system serving neighborhoods in South Los Angeles and connecting to key transit hubs.
  • B. Franklin Line
    The Franklin Line is a Massachusetts Bay Transportation Authority (MBTA) commuter rail line serving communities southwest of Boston.
  • 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. 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.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c775408190b4f5912786720e28 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5e5142c8190bc90da38b02e95e2 completed March 8, 2026, 5:46 p.m.
Created at: March 4, 2026, 7:32 p.m.