Triple

T3178404
Position Surface form Disambiguated ID Type / Status
Subject Basic Pay Scale system of Pakistan E66519 entity
Predicate notTypicallyAppliedTo P7029 FINISHED
Object armed forces commissioned officers 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: armed forces commissioned officers | Statement: [Basic Pay Scale system of Pakistan, notTypicallyAppliedTo, armed forces commissioned officers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notTypicallyAppliedTo
Context triple: [Basic Pay Scale system of Pakistan, notTypicallyAppliedTo, armed forces commissioned officers]
  • A. doesNotGenerallyApplyTo chosen
    Indicates that a rule, property, or condition is typically not relevant or applicable to the referenced entity or situation in most cases.
  • B. notTypically
    Indicates that the referenced situation, behavior, or relationship does not usually or normally occur under standard or expected conditions.
  • C. notTypicallyUsedFor
    Indicates that something is generally not used for a particular purpose, function, or activity under normal circumstances.
  • D. appliesPrimarilyTo
    Indicates that a property, rule, or characteristic is mainly relevant or intended for a particular entity or group, more than for others.
  • E. notObservedIn
    Indicates that a particular entity, event, or property has not been detected, recorded, or seen within a specified context, dataset, or environment.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada69db2088190baa1305892eb148a completed March 8, 2026, 4:41 p.m.
PD Predicate disambiguation batch_69ad9e02677c8190a21d93b1259b2761 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:06 p.m.