Triple

T23225194
Position Surface form Disambiguated ID Type / Status
Subject AFCAT E580994 entity
Predicate negativeMarkingPattern P65563 FINISHED
Object 1 mark deducted for each wrong answer (pattern may change as notified) 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: 1 mark deducted for each wrong answer (pattern may change as notified) | Statement: [AFCAT, negativeMarkingPattern, 1 mark deducted for each wrong answer (pattern may change as notified)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: negativeMarkingPattern
Context triple: [AFCAT, negativeMarkingPattern, 1 mark deducted for each wrong answer (pattern may change as notified)]
  • A. negativeMarking chosen
    Indicates that an entity assigns or receives a penalty, deduction, or unfavorable score in response to a particular action, performance, or condition.
  • B. negativeType
    Indicates that one entity is classified as a negative, undesirable, or disfavored type in relation to another or within a given context.
  • C. negativeFormulation
    Indicates that the associated statement, condition, or requirement is expressed in a negated or prohibitive form rather than an affirmative one.
  • D. negativeAcknowledgmentCharacter
    Indicates that one character responds with disagreement, refusal, or denial to another character’s statement, request, or action.
  • E. negativeWidth
    Indicates that the width of an entity or object is less than zero, representing an invalid or contradictory dimensional value.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922d30b08190a3c54bab58f5c8e7 completed April 29, 2026, 5:07 a.m.
PD Predicate disambiguation batch_69effcdadec0819092ec1749ee453b4e completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 4:08 p.m.