Triple

T25068949
Position Surface form Disambiguated ID Type / Status
Subject Canary Islands airport network E627855 entity
Predicate keyEconomicRole P2223 FINISHED
Object regional connectivity 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: regional connectivity | Statement: [Canary Islands airport network, keyEconomicRole, regional connectivity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: keyEconomicRole
Context triple: [Canary Islands airport network, keyEconomicRole, regional connectivity]
  • A. hasEconomicRole chosen
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • B. socioeconomicRole
    Indicates the social and economic position, function, or status an entity holds within a society or system.
  • C. positionOnGovernmentRoleInEconomy
    Indicates a stance or viewpoint regarding how much and in what ways the government should intervene or participate in the economy.
  • D. positionOnEconomicSystem
    Indicates the stance or viewpoint an entity holds regarding a particular economic system or model.
  • E. economicSectors
    Indicates a relationship that associates entities with the economic sectors or industries in which they operate or to which they belong.
  • 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_69e2ff2d71dc8190b4758e57d643cbe4 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f45d1207f48190899c35231bec98b2 completed May 1, 2026, 7:58 a.m.
PD Predicate disambiguation batch_69f44d77f6e88190a4643ab2cbef567b completed May 1, 2026, 6:51 a.m.
Created at: April 18, 2026, 6:10 a.m.