Triple
T5895616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Writing and Language |
E131092
|
entity |
| Predicate | isScoredAsPartOf |
P15617
|
FINISHED |
| Object | PSAT/NMSQT Evidence-Based Reading and Writing score |
—
|
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: PSAT/NMSQT Evidence-Based Reading and Writing score | Statement: [Writing and Language, isScoredAsPartOf, PSAT/NMSQT Evidence-Based Reading and Writing score]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isScoredAsPartOf Context triple: [Writing and Language, isScoredAsPartOf, PSAT/NMSQT Evidence-Based Reading and Writing score]
-
A.
isScoreFor
chosen
Indicates that one value represents the score or result associated with a particular entity, event, or performance.
-
B.
consideredPartOf
Indicates that one entity is regarded or treated as a component, segment, or subset of another entity within a larger whole.
-
C.
coScoredWith
Indicates that two or more entities received the same score or were evaluated with an identical scoring outcome in a shared context.
-
D.
hasScoredFor
Indicates that one entity has scored points, goals, or similar achievements on behalf of another entity, such as a team, organization, or side.
-
E.
scoredFor
Indicates that one entity achieved points or a score on behalf of another entity, such as a player scoring for a team.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.