Triple

T16773162
Position Surface form Disambiguated ID Type / Status
Subject Patriot E407651 entity
Predicate canIntercept P32377 FINISHED
Object aircraft 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: aircraft | Statement: [Patriot, canIntercept, aircraft]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canIntercept
Context triple: [Patriot, canIntercept, aircraft]
  • A. designedToIntercept chosen
    Indicates that one entity is purposefully created or configured to detect, block, or otherwise interrupt the actions, movement, or effects of another entity.
  • B. canHandle
    Indicates that an entity has the ability or capacity to manage, process, or deal with another entity or situation.
  • C. interceptionMethod
    Indicates the technique or means by which an interception (such as capturing data, signals, or communications) is carried out.
  • D. canPerform
    Indicates that one entity has the ability, permission, or capacity to carry out a specific action or function on or with another entity.
  • E. canBlock
    Indicates that one entity has the ability or permission to prevent, obstruct, or stop the action or effect of another entity.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b037c5708190ba604e7707b5a8a2 completed April 18, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69e319cbd79c8190a03587a61c18bec0 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:21 a.m.