Triple

T16529966
Position Surface form Disambiguated ID Type / Status
Subject ThrustSSC E401537 entity
Predicate manufacturer P490 FINISHED
Object ThrustSSC Programme Ltd E401537 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: ThrustSSC Programme Ltd | Statement: [ThrustSSC, manufacturer, ThrustSSC Programme Ltd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ThrustSSC Programme Ltd
Context triple: [ThrustSSC, manufacturer, ThrustSSC Programme Ltd]
  • A. ThrustSSC chosen
    ThrustSSC is a British jet-powered car that became the first land vehicle to officially break the sound barrier, setting a world land speed record in 1997.
  • B. Landspeed Records
    Landspeed Records is an independent hip-hop record label known for releasing underground and East Coast rap projects in the late 1990s and early 2000s.
  • C. Hennessey Group
    The Hennessey Group is a geologic rock unit known from the Permian stratigraphy of the central United States.
  • D. Turbo-Union Limited
    Turbo-Union Limited is a European aero-engine consortium formed by major British, German, and Italian companies to design, develop, and support military jet engines.
  • E. Wrightspeed
    Wrightspeed is a clean transportation technology company that develops range-extended electric powertrains for commercial and heavy-duty vehicles.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed625208190a68b879266b05b3f completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00609129808190b893346e06deb944 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.