Triple

T2160477
Position Surface form Disambiguated ID Type / Status
Subject Isuzu E47989 entity
Predicate hasModel P2390 FINISHED
Object Isuzu MU-X E241647 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 MU-X | Statement: [Isuzu, hasModel, Isuzu MU-X]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isuzu MU-X
Context triple: [Isuzu, hasModel, Isuzu MU-X]
  • A. Isuzu MU-X chosen
    The Isuzu MU-X is a mid-size SUV produced by Japanese automaker Isuzu, known for its rugged body-on-frame construction and strong diesel engine options.
  • B. Isuzu D-Max
    The Isuzu D-Max is a popular mid-size pickup truck known for its durability, strong diesel engines, and widespread use in both commercial and personal applications worldwide.
  • C. Nissan Patrol
    The Nissan Patrol is a large, rugged SUV renowned for its off-road capability and long-standing use as a durable 4x4 in markets worldwide.
  • D. Nissan Navara
    The Nissan Navara is a mid-size pickup truck known for its durability, off-road capability, and popularity in global markets for both work and recreational use.
  • E. Isuzu Trooper
    The Isuzu Trooper is a mid-size, body-on-frame SUV produced by Japanese automaker Isuzu from the early 1980s to the early 2000s, known for its off-road capability and boxy, utilitarian design.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe8894d481908eda9363fd36fea6 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6af04e908190a8eaee7500e0b1af completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:45 p.m.