Triple

T22721440
Position Surface form Disambiguated ID Type / Status
Subject L Line E561871 entity
Predicate connectsTo P845 FINISHED
Object C Line — NE NERFINISHED

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: C Line | Statement: [L Line, connectsTo, C Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: C Line
Context triple: [L Line, connectsTo, C Line]
  • A. C Line
    The C Line is a light rail route in the Los Angeles Metro Rail system that runs primarily along the I-105 freeway corridor, connecting coastal and inland communities in the South Bay region.
  • B. C Line
    The C Line was a light rail service in Denver, Colorado, that operated as part of the Regional Transportation District’s rail network.
  • C. C Line
    The C Line is a local New York City Subway service that runs along the Eighth Avenue Line in Manhattan and through parts of Brooklyn and Queens.
  • D. C line
    The C line was a former streetcar route in the Los Angeles Railway system that served local passengers in early 20th-century Los Angeles.
  • E. C line
    The C line is a route within Copenhagen’s S-train suburban rail network, providing frequent commuter service between central Copenhagen and its outlying districts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17911a4fc81908a125209aea77e22 completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.