Triple

T8607882
Position Surface form Disambiguated ID Type / Status
Subject North American truck market E203847 entity
Predicate majorStakeholderType P24418 FINISHED
Object truck manufacturers LITERAL 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: truck manufacturers | Statement: [North American truck market, majorStakeholderType, truck manufacturers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorStakeholderType
Context triple: [North American truck market, majorStakeholderType, truck manufacturers]
  • A. primaryStakeholder
    Indicates that an entity is the main party with the greatest interest, responsibility, or influence in relation to another entity, project, or decision.
  • B. majorShareholderOf
    Indicates that one entity owns a controlling or significantly large portion of another entity’s shares or equity.
  • C. majorCustomer
    Indicates that one entity is a primary or high-value customer of another entity, typically contributing a significant portion of business or revenue.
  • D. majorConstituentType chosen
    Indicates the type or category of a primary or dominant component that makes up a larger whole.
  • E. hasStakeholder
    Indicates that an entity is a stakeholder of another entity, typically having an interest, involvement, or influence in its activities or outcomes.
  • F. None of above.

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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46ec301881908ce148a3f07069fe completed March 31, 2026, 10:13 p.m.
PD Predicate disambiguation batch_69cc454eb2908190acf0e4336bc67e7b completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:25 p.m.