Triple

T21923112
Position Surface form Disambiguated ID Type / Status
Subject Shannon Flight Information Region E541369 entity
Predicate hasSectorization P146574 FINISHED
Object multiple control sectors 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: multiple control sectors | Statement: [Shannon Flight Information Region, hasSectorization, multiple control sectors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSectorization
Context triple: [Shannon Flight Information Region, hasSectorization, multiple control sectors]
  • A. sectorizationContext
    Indicates the contextual framework or conditions under which a system, area, or domain is divided into distinct sectors or segments.
  • B. hasPlannedSectors
    Indicates that an entity is associated with specific sectors that have been identified or designated in advance for future activity, development, or focus.
  • C. isSectorSpecific
    Indicates that something is tailored or restricted to a particular industry or sector rather than being generally applicable.
  • D. hasSect
    Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
  • E. coveredSector
    Indicates that one entity provides coverage, service, or operational responsibility for a particular sector or area.
  • F. None of above. chosen

Provenance (4 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1233d096c8190af0d7cd21879c91b completed April 28, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69e6f5efc208819091ed2cf6841fa600 completed April 21, 2026, 3:58 a.m.
PDg Predicate description generation batch_69e6fb6991948190a428c3c3bfd1c3b8 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 7:45 p.m.