Triple

T3945076
Position Surface form Disambiguated ID Type / Status
Subject Fort Bragg E92125 entity
Predicate hasTransportation P105 FINISHED
Object Skunk Train E402635 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: Skunk Train | Statement: [Fort Bragg, hasTransportation, Skunk Train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skunk Train
Context triple: [Fort Bragg, hasTransportation, Skunk Train]
  • A. Skunk Train chosen
    The Skunk Train is a historic scenic railroad in Northern California that offers passenger excursions through the redwood forests between Fort Bragg and Willits.
  • B. Burnin’ Train
    "Burnin’ Train" is a high-energy rock song by Bruce Springsteen, featured on his 2020 studio album *Letter to You*.
  • C. The Blackberry Train
    The Blackberry Train is the debut solo album by English musician James McCartney, blending melodic rock and introspective songwriting.
  • D. Downbound Train
    "Downbound Train" is a somber, narrative-driven rock song by Bruce Springsteen that appears on his 1984 album *Born in the U.S.A.*
  • E. Night Train
    Night Train is a celebrated jazz album featuring bassist Ray Brown, known for its swinging, blues-inflected interpretations of standards.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef0d8841081908d2c1de8e5758017 completed March 9, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53ff967a88190b0100dbedb580e4d completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:24 p.m.