Triple

T4302971
Position Surface form Disambiguated ID Type / Status
Subject Willits E99883 entity
Predicate knownFor P22 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: [Willits, knownFor, Skunk Train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skunk Train
Context triple: [Willits, knownFor, 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350b792608190ac778b79c740256a completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7507f1081909cf737dff00542d9 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.