Triple

T21704967
Position Surface form Disambiguated ID Type / Status
Subject GASGAS Factory Racing Tech3 E535748 entity
Predicate usesConstructor P139768 FINISHED
Object GASGAS 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: GASGAS | Statement: [GASGAS Factory Racing Tech3, usesConstructor, GASGAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GASGAS
Context triple: [GASGAS Factory Racing Tech3, usesConstructor, GASGAS]
  • A. GASGAS chosen
    GASGAS is a Spanish motorcycle manufacturer known for its off-road, enduro, and motocross bikes and its participation in international motorsport competitions.
  • B. GASGAS Factory Racing Tech3
    GASGAS Factory Racing Tech3 is a MotoGP World Championship team run by the Tech3 outfit and backed by the GASGAS motorcycle brand.
  • C. Aprilia
    Aprilia is a town and municipality in the Lazio region of central Italy, known for its agricultural production and proximity to Rome.
  • D. Aprilia
    Aprilia is an Italian motorcycle manufacturer renowned for its high-performance racing bikes and participation in premier motorcycle racing championships.
  • E. KTM
    KTM is an Austrian motorcycle manufacturer renowned for its high-performance racing and off-road bikes, including its factory team participation in MotoGP.
  • 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb52e4b84819095a24cc9fdca2b8a completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:46 p.m.