Triple

T15196686
Position Surface form Disambiguated ID Type / Status
Subject Øresund Committee E363153 entity
Predicate operatesInPolicyArea P7262 FINISHED
Object European cross-border regional policy 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: European cross-border regional policy | Statement: [Øresund Committee, operatesInPolicyArea, European cross-border regional policy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatesInPolicyArea
Context triple: [Øresund Committee, operatesInPolicyArea, European cross-border regional policy]
  • A. isPartOfPolicyArea
    Indicates that one policy, topic, or issue belongs to, falls under, or is categorized within a broader policy area or domain.
  • B. hasPolicyArea chosen
    Indicates that an entity (such as a policy, program, or initiative) is associated with or pertains to a specific policy area or domain.
  • C. isResponsibleForPolicyArea
    Indicates that an entity has primary authority or accountability for developing, overseeing, or managing a particular policy area.
  • D. implementsPolicyArea
    Indicates that an entity carries out, enforces, or operationalizes a specific policy area in practice.
  • E. coversPolicyArea
    Indicates that a policy, document, or initiative includes or addresses a particular policy area or topic within its scope.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067fcc788190abdc083d4eadeb36 completed April 15, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69deb97bd8bc8190b2ad4888f97cf963 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:10 a.m.