Triple

T772088
Position Surface form Disambiguated ID Type / Status
Subject SAIC Motor E16302 entity
Predicate hasNotableModelBrand P1503 FINISHED
Object Maxus T60 E91709 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: Maxus T60 | Statement: [SAIC Motor, hasNotableModelBrand, Maxus T60]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maxus T60
Context triple: [SAIC Motor, hasNotableModelBrand, Maxus T60]
  • A. Maxus chosen
    Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
  • B. Baojun RC-6
    The Baojun RC-6 is a mid-size fastback-style sedan produced by the Chinese automaker Baojun, positioned as an affordable, tech-focused family car.
  • C. Roewe
    Roewe is a Chinese automobile marque owned by SAIC Motor, known for producing a range of passenger cars and SUVs, including electric and plug-in hybrid models.
  • D. BMW X7
    The BMW X7 is a full-size luxury SUV that serves as BMW’s flagship utility vehicle, offering three-row seating, premium features, and powerful performance.
  • E. Qashqai
    Qashqai is a Turkic language variety spoken primarily by the Qashqai people in southwestern Iran, closely related to Azerbaijani.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9cecd08190a23c9f65080a4ac7 completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787a808c81908e8db55a7f28ac90 completed March 3, 2026, 5:58 a.m.
Created at: March 1, 2026, 7:37 p.m.