Triple
T5739442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Combined Defence Services Examination |
E126576
|
entity |
| Predicate | negativeMarking |
P65563
|
FINISHED |
| Object | yes, for wrong answers |
—
|
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: yes, for wrong answers | Statement: [Combined Defence Services Examination, negativeMarking, yes, for wrong answers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: negativeMarking Context triple: [Combined Defence Services Examination, negativeMarking, yes, for wrong answers]
-
A.
negativeType
Indicates that one entity is classified as a negative, undesirable, or disfavored type in relation to another or within a given context.
-
B.
negativeFormulation
Indicates that the associated statement, condition, or requirement is expressed in a negated or prohibitive form rather than an affirmative one.
-
C.
negativePhaseAssociatedWith
Indicates an association between something and a negative or unfavorable phase, state, or stage in a process or condition.
-
D.
negativeAcknowledgmentCharacter
Indicates that one character responds with disagreement, refusal, or denial to another character’s statement, request, or action.
-
E.
negates
Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
- F. None of above. chosen
Provenance (4 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255dc35c8190ab9ee5d269ce553a |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c022a50c048190aff24c63e7039dd6 |
completed | March 22, 2026, 5:11 p.m. |
Created at: March 22, 2026, 3:48 p.m.