Triple

T33689378
Position Surface form Disambiguated ID Type / Status
Subject مطار بئر السبع E863132 entity
Predicate يستخدم_لأغراض P98 FINISHED
Object أغراض عسكرية 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: أغراض عسكرية | Statement: [مطار بئر السبع, يستخدم_لأغراض, أغراض عسكرية]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: يستخدم_لأغراض
Context triple: [مطار بئر السبع, يستخدم_لأغراض, أغراض عسكرية]
  • A. usedFor chosen
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • B. endedUseWith
    Indicates that an entity has stopped or terminated its use or association with another entity.
  • C. reasonForUse
    Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
  • D. isBelievedToBeUsedFor
    Indicates that something is thought or assumed to serve a particular purpose or function, without certainty.
  • E. isSometimesUsedFor
    Indicates that something serves a particular purpose or function on some occasions, but not consistently or exclusively.
  • 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_69f3498662b48190904442c39df84fb7 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
PD Predicate disambiguation batch_69f6fc5740fc81909774a4f65201a3ff completed May 3, 2026, 7:42 a.m.
Created at: May 1, 2026, 1:43 a.m.