Triple

T28584205
Position Surface form Disambiguated ID Type / Status
Subject VTT Technical Research Centre of Finland E723447 entity
Predicate publicSectorType P7658 FINISHED
Object state research institute 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 research institute | Statement: [VTT Technical Research Centre of Finland, publicSectorType, state research institute]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicSectorType
Context triple: [VTT Technical Research Centre of Finland, publicSectorType, state research institute]
  • A. publicSectorStatus chosen
    Indicates whether an entity is part of, controlled by, or associated with the public sector (e.g., government or state-owned institutions).
  • B. ownerSector
    Indicates the sector or industry category to which the owner of an entity belongs.
  • C. sectoralOrganizations
    Indicates that there is an organizational relationship specifically structured around a particular sector or industry.
  • D. regulatedSector
    Indicates that an entity operates within an industry or domain that is subject to formal rules, oversight, and control by regulatory authorities.
  • E. unionSector
    Indicates that a labor union is associated with, represents, or operates within a particular economic or industrial sector.
  • 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_69f01d7f92e481909847f5f3f3174a89 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69fcab6e888881908ca9e18660928a40 completed May 7, 2026, 3:10 p.m.
PD Predicate disambiguation batch_69fc4562a5b88190bad48f083a6dcdfa completed May 7, 2026, 7:55 a.m.
Created at: April 28, 2026, 4:16 a.m.