Triple
T25258010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joint Admission Test for M.Sc. |
E633223
|
entity |
| Predicate | scoreUsage |
P33238
|
FINISHED |
| Object | admission to IIT postgraduate science programs |
—
|
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: admission to IIT postgraduate science programs | Statement: [Joint Admission Test for M.Sc., scoreUsage, admission to IIT postgraduate science programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoreUsage Context triple: [Joint Admission Test for M.Sc., scoreUsage, admission to IIT postgraduate science programs]
-
A.
scoreUsedFor
chosen
Indicates that a particular score or rating is used for a specific purpose, decision, or downstream process.
-
B.
scoresWhen
Indicates that one entity achieves a score or points at the time or under the condition specified by another entity or event.
-
C.
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.
-
D.
scoreScale
Indicates the scale or range on which a score or rating is expressed or measured.
-
E.
scoreEffect
Indicates the impact or change that an action, event, or condition has on a score or scoring outcome.
- 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_69e75a922ad481908f4f1f884583cb42 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f483904578819096518f6a0a82a31f |
completed | May 1, 2026, 10:42 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 1:13 p.m.