Triple

T11267216
Position Surface form Disambiguated ID Type / Status
Subject Crenshaw/LAX Line E266717 entity
Predicate connectsWith P37 FINISHED
Object C Line E81066 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: C Line | Statement: [Crenshaw/LAX Line, connectsWith, C Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: C Line
Context triple: [Crenshaw/LAX Line, connectsWith, C Line]
  • A. C Line chosen
    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 is a local New York City Subway service that runs along the Eighth Avenue Line in Manhattan and through parts of Brooklyn and Queens.
  • C. 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.
  • D. 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.
  • E. Line C
    Line C is one of the main lines of the Buenos Aires Underground, running north–south through central Buenos Aires and connecting key transport hubs in the city.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94e5e3c8190a31995d55d20d7ed completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccd52c20819093e03bba2fd359b7 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.