Triple

T11651322
Position Surface form Disambiguated ID Type / Status
Subject TRVG E276909 entity
Predicate associatedWithIndustryClassification P47404 FINISHED
Object Interactive Media & Services 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: Interactive Media & Services | Statement: [TRVG, associatedWithIndustryClassification, Interactive Media & Services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithIndustryClassification
Context triple: [TRVG, associatedWithIndustryClassification, Interactive Media & Services]
  • A. associatedWithEconomicSector
    Indicates that an entity has a connection or involvement with a particular economic sector, such as operating, participating, or being relevant within that sector.
  • B. relationToIndustry chosen
    Indicates how an entity is connected or relevant to a particular industry, such as through involvement, impact, or association.
  • C. containsIndustry
    Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
  • D. occupationalAssociation
    Indicates a relationship where one entity is connected to another through a job, profession, or work-related role.
  • E. hasPrincipalIndustry
    Indicates that an entity’s main or primary industry of operation is the specified industry.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cea9308190a13f7dd995ea07a4 completed April 10, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69d85ddc780481909a3bc63832fe2bd2 completed April 10, 2026, 2:18 a.m.
Created at: April 8, 2026, 9:39 p.m.