Triple

T14999197
Position Surface form Disambiguated ID Type / Status
Subject AF 8x-xxxx E374037 entity
Predicate appliesToStatus P1129 FINISHED
Object operational B-2 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: operational B-2 aircraft | Statement: [AF 8x-xxxx, appliesToStatus, operational B-2 aircraft]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesToStatus
Context triple: [AF 8x-xxxx, appliesToStatus, operational B-2 aircraft]
  • A. appliesTo chosen
    Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
  • B. statusIncludes
    Indicates that one entity’s status set contains or encompasses the status (or statuses) of another entity.
  • C. appliesAt
    Indicates that an action, rule, or condition is relevant to or in effect at a specific location, context, or point in time.
  • D. hasStatusBasedOn
    Indicates that an entity’s status is determined or derived from another condition, event, or entity.
  • E. possibleStatus
    Indicates the set of statuses that an entity is allowed or able to assume within a given context.
  • 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.