Triple

T4389294
Position Surface form Disambiguated ID Type / Status
Subject RP-1 E99321 entity
Predicate notTypicallyUsedIn P7974 FINISHED
Object upperStagesRequiringMaximumSpecificImpulse 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: upperStagesRequiringMaximumSpecificImpulse | Statement: [RP-1, notTypicallyUsedIn, upperStagesRequiringMaximumSpecificImpulse]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notTypicallyUsedIn
Context triple: [RP-1, notTypicallyUsedIn, upperStagesRequiringMaximumSpecificImpulse]
  • A. notTypicallyUsedFor chosen
    Indicates that something is generally not used for a particular purpose, function, or activity under normal circumstances.
  • B. notTypically
    Indicates that the referenced situation, behavior, or relationship does not usually or normally occur under standard or expected conditions.
  • C. notUsedInCountry
    Indicates that a given item, resource, or entity is not utilized, applied, or in operation within a specified country.
  • D. notUsedOnModel
    Indicates that a particular item, component, or feature is not applied, installed, or utilized on the specified model.
  • E. doesNotUse
    Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35281900c8190882e9ccfa44ab86f completed March 12, 2026, 11:55 p.m.
PD Predicate disambiguation batch_69b34f572efc8190bad1e5078cbcb75a completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:19 p.m.