Triple

T6301522
Position Surface form Disambiguated ID Type / Status
Subject Josef Newgarden E141265 entity
Predicate hasSeriesSponsor P35686 FINISHED
Object NTT E123439 NE FINISHED

How this triple was built (3 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: NTT | Statement: [Josef Newgarden, hasSeriesSponsor, NTT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NTT
Context triple: [Josef Newgarden, hasSeriesSponsor, NTT]
  • A. NTT
    NTT is a 3.58-meter optical telescope operated by the European Southern Observatory at La Silla Observatory in Chile, notable for pioneering active optics technology.
  • B. NTT DoCoMo chosen
    NTT DoCoMo is Japan’s largest mobile network operator, known for pioneering advanced mobile technologies and services, including early 3G deployments.
  • C. KDDI
    KDDI is a major Japanese telecommunications company that provides mobile, broadband, and other communication services domestically and internationally.
  • D. Tokyo Tsushin Kogyo
    Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
  • E. United Telecommunications
    United Telecommunications was a major American telecommunications company that evolved through mergers and rebranding into what became Sprint Corporation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeriesSponsor
Context triple: [Josef Newgarden, hasSeriesSponsor, NTT]
  • A. hasSponsor chosen
    Indicates that one entity financially or otherwise supports another entity, typically in exchange for recognition or other benefits.
  • B. hasTitleSponsor
    Indicates that one entity serves as the primary (title) sponsor for another entity, typically giving its name to the sponsored event, organization, or property.
  • C. hasSupportSeries
    Indicates that one entity is backed, reinforced, or maintained by a sequence or set of supporting elements provided by another entity.
  • D. sponsorshipName
    Indicates the name or title associated with a sponsorship relationship between entities.
  • E. sponsorEnded
    Indicates that a sponsorship relationship between entities has been terminated or has come to an end.
  • F. None of above.

Provenance (4 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645bb41481909294b06e2b3e1845 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e42f38bc819086a3e66a83ffc792 completed March 27, 2026, 1:58 a.m.
PD Predicate disambiguation batch_69c060e311b48190b1c74a5cf9435623 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:27 p.m.