Triple

T8480280
Position Surface form Disambiguated ID Type / Status
Subject Coaster (San Diego) E200496 entity
Predicate hasStation P35 FINISHED
Object Carlsbad Village station E215630 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: Carlsbad Village station | Statement: [Coaster (San Diego), hasStation, Carlsbad Village station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlsbad Village station
Context triple: [Coaster (San Diego), hasStation, Carlsbad Village station]
  • A. Carlsbad Village Station chosen
    Carlsbad Village Station is a coastal commuter rail and transit station serving the Carlsbad Village area in Carlsbad, California.
  • B. Oceanside station
    Oceanside station is a Long Island Rail Road commuter rail stop in Oceanside, New York, providing regional train service to New York City and surrounding areas.
  • C. El Fuerte station
    El Fuerte station is a stop on Mexico’s famous Ferrocarril Chihuahua al Pacífico (Chepe) railway, serving the historic town of El Fuerte in Sinaloa as part of the scenic Copper Canyon route.
  • D. Las Parcelas station
    Las Parcelas station is a stop on Santiago’s Metro system serving Line 5 in the city’s western sector.
  • E. Fontana station
    Fontana station is a commuter rail stop in Fontana, California, serving passengers on Metrolink’s San Bernardino Line in the Inland Empire region.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5232d008190ae55b982f5fc9e8b completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a2b2e9081909f19712946c6ec20 completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:12 p.m.