Triple

T11835577
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom airspace E281505 entity
Predicate hasCapacityConstraints P96413 FINISHED
Object London TMA congestion 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: London TMA congestion | Statement: [United Kingdom airspace, hasCapacityConstraints, London TMA congestion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCapacityConstraints
Context triple: [United Kingdom airspace, hasCapacityConstraints, London TMA congestion]
  • A. hasCapacityTo
    Indicates that one entity possesses the ability, power, or potential to perform an action or bring about a particular effect in relation to another entity or context.
  • B. hasResourceConstraint chosen
    Indicates that an entity is subject to a limitation or restriction on the resources it can use or access.
  • C. hasCapacityType
    Indicates that an entity possesses a specific kind or classification of capacity or capability.
  • D. hasCapacityProperty
    Indicates that an entity is associated with a capacity-related characteristic, such as volume, throughput, or maximum amount it can hold or handle.
  • E. hasAccessConstraint
    Indicates that there is a limiting condition or rule governing the ability to access or use a particular resource, service, or action.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62fec0881908c7b89c0b5bcc9a2 completed April 10, 2026, 7:26 a.m.
PD Predicate disambiguation batch_69d8a254a57481908a1e6ad97919c416 completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:43 p.m.