Triple
T37914819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College Scholastic Ability Test |
E945785
|
entity |
| Predicate | maximumScoreType |
P141114
|
FINISHED |
| Object | varies by year and section |
—
|
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: varies by year and section | Statement: [College Scholastic Ability Test, maximumScoreType, varies by year and section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumScoreType Context triple: [College Scholastic Ability Test, maximumScoreType, varies by year and section]
-
A.
scoringType
Indicates the method or criteria by which performance, outcomes, or results are evaluated and assigned a score in a given context.
-
B.
hasScoreType
chosen
Indicates that an entity is associated with a particular type or category of score.
-
C.
decisiveScoreType
Indicates the type or category of score used to determine a decisive outcome in a comparison or decision process.
-
D.
gameWinningScoreType
Indicates the type or category of score (e.g., goal, point, run) that results in winning a game.
-
E.
maximumNumber
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
- 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: May 3, 2026, 4:20 p.m.