Triple

T14999178
Position Surface form Disambiguated ID Type / Status
Subject AF 8x-xxxx E374037 entity
Predicate AFComponentMeaning P59978 FINISHED
Object indicates United States Air Force ownership 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: indicates United States Air Force ownership | Statement: [AF 8x-xxxx, AFComponentMeaning, indicates United States Air Force ownership]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: AFComponentMeaning
Context triple: [AF 8x-xxxx, AFComponentMeaning, indicates United States Air Force ownership]
  • A. meaningComponent
    Indicates that one entity represents a semantic or conceptual component contributing to the overall meaning of another entity.
  • B. deviceMeaning chosen
    Indicates that one entity specifies or conveys the functional meaning, purpose, or interpretation of a device-related entity.
  • C. FitzElementMeaning
    Indicates a relationship where an element is associated with, or conveys, a particular meaning or interpretive significance.
  • D. meaningComponent郎
    Indicates that one entity is a semantic component or constituent part of the overall meaning of another entity.
  • E. logicalMeaning
    Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded71a5618819083ae96a79735ef98 completed April 15, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69de9a6169b48190a679609febd2d0e3 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:54 a.m.