Triple

T16996101
Position Surface form Disambiguated ID Type / Status
Subject Western Star E412318 entity
Predicate notableModelSeries P1503 FINISHED
Object Western Star 4700 E412318 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: Western Star 4700 | Statement: [Western Star, notableModelSeries, Western Star 4700]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western Star 4700
Context triple: [Western Star, notableModelSeries, Western Star 4700]
  • A. Western Star
    Western Star was a named passenger train of the Great Northern Railway that provided long-distance service across the northern United States.
  • B. Western Star chosen
    Western Star is a North American manufacturer of heavy-duty trucks known for its rugged, customizable vehicles used in vocational, off-road, and long-haul applications.
  • C. Peterbilt
    Peterbilt is an American manufacturer of premium heavy-duty and medium-duty trucks known for their durability, performance, and iconic styling.
  • D. Freightliner
    Freightliner is a major American manufacturer of heavy-duty and commercial trucks, best known for its long-haul semi-trucks and part of the Daimler AG family of brands.
  • E. Kenworth
    Kenworth is a prominent American manufacturer of heavy-duty and medium-duty trucks known for their durability and use in commercial freight and vocational applications.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d2879af081909665f9f838bcfbe7 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc18e6988190b42b3d251cf00b98 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.