Triple
T1157578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSAT/NMSQT |
E24416
|
entity |
| Predicate | noPenaltyForGuessing |
P25408
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [PSAT/NMSQT, noPenaltyForGuessing, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: noPenaltyForGuessing Context triple: [PSAT/NMSQT, noPenaltyForGuessing, true]
-
A.
penaltyForRevealingSecrets
Indicates that an entity incurs a punishment or negative consequence as a result of disclosing confidential or secret information.
-
B.
notAwardedFor
Indicates that a particular award, prize, or honor was explicitly not given in recognition of a specified work, achievement, or entity.
-
C.
ignorantOf
Indicates that one entity lacks knowledge or awareness of another entity or of some specific fact, topic, or situation.
-
D.
notAwardedIn
Indicates that a particular award or recognition was not given to an entity within a specified context, such as a year, event, or category.
-
E.
zeroShotPrompting
Indicates that one entity elicits a response or behavior from another without using any task-specific examples, relying solely on general instructions or descriptions.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcab3cd08190ad06ea007042a8fc |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb50d19c81908a98dbbb04a8906f |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc47fce48190825d3a877251f789 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:44 p.m.