Triple

T13289558
Position Surface form Disambiguated ID Type / Status
Subject GMT530 platform E316531 entity
Predicate brand P1500 FINISHED
Object Isuzu E47989 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: Isuzu | Statement: [GMT530 platform, brand, Isuzu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isuzu
Context triple: [GMT530 platform, brand, Isuzu]
  • A. Isuzu chosen
    Isuzu is a Japanese automotive manufacturer best known for producing commercial vehicles, pickup trucks, and diesel engines for global markets.
  • B. Isuzu i-Series
    The Isuzu i-Series is a compact pickup truck line produced by Isuzu for the North American market, largely based on a rebadged version of the Chevrolet Colorado/GMC Canyon.
  • C. Isuzu N-Series
    The Isuzu N-Series is a line of light-duty commercial trucks produced by Isuzu, widely used around the world for urban delivery and utility applications.
  • D. Isuzu Piazza
    The Isuzu Piazza is a stylish compact sports coupe from the 1980s, best known for its sharp, futuristic design by famed Italian automotive designer Giorgetto Giugiaro.
  • E. Isuzu Panther
    The Isuzu Panther is a multi-purpose vehicle (MPV) produced by Isuzu, popular in Southeast Asia for its durability, utility, and use as a family and commercial transport.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99076aeec8190b0cb883ab60d3f6b completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f247e2081908759c40c0023c7ae completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:27 p.m.