Triple

T23368181
Position Surface form Disambiguated ID Type / Status
Subject Peterbilt E593381 entity
Predicate product P490 FINISHED
Object Peterbilt 389 NE NERFINISHED

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: Peterbilt 389 | Statement: [Peterbilt, product, Peterbilt 389]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peterbilt 389
Context triple: [Peterbilt, product, Peterbilt 389]
  • A. Peterbilt chosen
    Peterbilt is an American manufacturer of premium heavy-duty and medium-duty trucks known for their durability, performance, and iconic styling.
  • B. 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.
  • C. Freightliner
    Freightliner is a major British rail freight and logistics company that operates container and bulk cargo services across the UK and internationally.
  • D. Freightliner eM2
    The Freightliner eM2 is a battery-electric medium-duty truck designed for local and regional distribution with zero tailpipe emissions.
  • E. Ford F-800
    The Ford F-800 is a heavy-duty commercial truck model from Ford’s F-Series lineup, commonly used for vocational applications such as construction, delivery, and municipal services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aed374819097d38f51894bee44 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:32 p.m.