Triple
T22376199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commended Students |
E553156
|
entity |
| Predicate | cutoffType |
P147419
|
FINISHED |
| Object | nationally applied Selection Index cutoff |
—
|
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: nationally applied Selection Index cutoff | Statement: [Commended Students, cutoffType, nationally applied Selection Index cutoff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cutoffType Context triple: [Commended Students, cutoffType, nationally applied Selection Index cutoff]
-
A.
cutOff
Indicates that one entity causes another entity to be disconnected, interrupted, or severed from a source, flow, or continuation.
-
B.
cutBy
Indicates that one entity is divided, severed, or shaped as a result of another entity performing a cutting action on it.
-
C.
typeOfElimination
Indicates the specific method or process by which something is removed, discarded, or ruled out from consideration.
-
D.
scoringType
Indicates the method or criteria by which performance, outcomes, or results are evaluated and assigned a score in a given context.
-
E.
cutOffDateYear
Indicates the calendar year that serves as the cutoff point beyond which something no longer applies, is valid, or is considered.
- 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_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. |
| PDg | Predicate description generation | batch_69e7342e9a0081909257210a81c96b29 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:45 p.m.