Triple

T504283
Position Surface form Disambiguated ID Type / Status
Subject Infraestruturas de Portugal E10467 entity
Predicate subsidiaryType P7150 FINISHED
Object state-owned enterprise 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: state-owned enterprise | Statement: [Infraestruturas de Portugal, subsidiaryType, state-owned enterprise]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subsidiaryType
Context triple: [Infraestruturas de Portugal, subsidiaryType, state-owned enterprise]
  • A. subsidiaryUnit
    Indicates that one organizational unit functions as a subordinate or dependent division of another, higher-level unit.
  • B. notableSubsidiary
    Indicates that one entity is a subsidiary of another and is particularly significant or prominent among that parent’s subsidiaries.
  • C. hasSubsidiaryTitle
    Indicates that an entity has an additional or secondary title formally associated with its main title.
  • D. subunitType chosen
    Indicates that one entity is a specific kind or classification of subunit within the structure or composition of another entity.
  • E. underlyingCompany
    Indicates that one entity serves as the fundamental or base company upon which another entity (such as a product, instrument, or structure) is built, derived, or dependent.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f149bd1c81908ff58ac504ace2bf completed Feb. 28, 2026, 1:44 p.m.
PD Predicate disambiguation batch_69a2edfce7a08190a408bc019de60d5d completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.