Triple

T10894179
Position Surface form Disambiguated ID Type / Status
Subject Old Town Transit Center E257264 entity
Predicate railLine P848 FINISHED
Object COASTER E381790 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: COASTER | Statement: [Old Town Transit Center, railLine, COASTER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COASTER
Context triple: [Old Town Transit Center, railLine, COASTER]
  • A. COASTER chosen
    COASTER is a commuter rail service in San Diego County, California, providing coastal passenger transportation between Oceanside and downtown San Diego.
  • B. Roller Coaster
    "Roller Coaster" is a song by Bon Jovi from their album *This House Is Not for Sale*.
  • C. SkyCoaster
    SkyCoaster is a high-thrill amusement ride that combines elements of skydiving and hang gliding, where riders are hoisted up and then released to swing in a giant arc.
  • D. The Giant Coaster
    The Giant Coaster is the historic wooden roller coaster later known as Wild One, renowned as one of the classic early 20th-century coasters in the United States.
  • E. Hyper Coaster
    Hyper Coaster is a high-thrill roller coaster model characterized by tall drops, high speeds, and airtime-focused layouts typically exceeding traditional coaster height and speed benchmarks.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75d0153408190bcba2d9b03d78804 completed April 9, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1550d6b4081909483c5dfa6e85671 completed April 16, 2026, 9:30 p.m.
Created at: April 8, 2026, 9:21 p.m.