Triple
T30031856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACT college entrance examination |
E763042
|
entity |
| Predicate | writingScoreScale |
P16725
|
FINISHED |
| Object | separate writing score scale (historically 2–12) |
—
|
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: separate writing score scale (historically 2–12) | Statement: [ACT college entrance examination, writingScoreScale, separate writing score scale (historically 2–12)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingScoreScale Context triple: [ACT college entrance examination, writingScoreScale, separate writing score scale (historically 2–12)]
-
A.
writingSampleScored
Indicates that a writing sample has been evaluated and assigned a score or rating.
-
B.
scoreScale
chosen
Indicates the scale or range on which a score or rating is expressed or measured.
-
C.
scoreScaleAnalyticalWriting
Indicates the scoring scale or range used to evaluate and rate analytical writing performance.
-
D.
scoring
Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
-
E.
scoreIncrementAnalyticalWriting
Indicates an increase in a subject’s score specifically attributable to their analytical writing performance or improvement.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 6:50 p.m.