Triple

T103756
Position Surface form Disambiguated ID Type / Status
Subject Dutch E2096 entity
Predicate recognizedStatus P3927 FINISHED
Object official language of the European Union 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: official language of the European Union | Statement: [Dutch, recognizedStatus, official language of the European Union]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recognizedStatus
Context triple: [Dutch, recognizedStatus, official language of the European Union]
  • A. recognizedFor
    Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
  • B. canonicalStatus chosen
    Indicates the formal or official standing of an entity within an established authoritative or normative system.
  • C. recognizedRight
    Indicates that an agent formally acknowledges and accepts that another party possesses a specific right or entitlement.
  • D. recognizedAs
    Indicates that one entity is acknowledged or accepted as having the identity, role, status, or classification of another entity.
  • E. recognizedIn
    Indicates that an entity is formally acknowledged, honored, or given recognition within a particular context, setting, or domain.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a25711f6788190a22252ea3a3af394 completed Feb. 28, 2026, 2:46 a.m.
PD Predicate disambiguation batch_69a2563be81c81908ccc5ed44edd6b8e completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.