Triple
T22376195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commended Students |
E553156
|
entity |
| Predicate | scoreBasis |
P7476
|
FINISHED |
| Object | Selection Index 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: Selection Index score | Statement: [Commended Students, scoreBasis, Selection Index score]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoreBasis Context triple: [Commended Students, scoreBasis, Selection Index score]
-
A.
rankingBasis
chosen
Indicates the criterion or standard used to determine the order or rank of entities in a ranking.
-
B.
scoreScale
Indicates the scale or range on which a score or rating is expressed or measured.
-
C.
scoresWhen
Indicates that one entity achieves a score or points at the time or under the condition specified by another entity or event.
-
D.
scores
Indicates that one entity achieves or is assigned a numerical result, rating, or points in relation to another entity, such as a test, game, or evaluation.
-
E.
scoreAssignment
Indicates evaluating and assigning a grade or numerical score to an assignment.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158285d208190bc7d05d315267995 |
completed | April 29, 2026, 1 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.