Triple
T20547475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UPCET |
E504507
|
entity |
| Predicate | applicableInstitutions |
P3673
|
FINISHED |
| Object | colleges in Uttar Pradesh |
—
|
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: colleges in Uttar Pradesh | Statement: [UPCET, applicableInstitutions, colleges in Uttar Pradesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: applicableInstitutions Context triple: [UPCET, applicableInstitutions, colleges in Uttar Pradesh]
-
A.
eligibleInstitution
chosen
Indicates that an institution satisfies specified criteria or requirements to qualify for a particular program, benefit, or status.
-
B.
hasInstitutions
Indicates that one entity possesses, contains, or is associated with one or more institutions.
-
C.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
D.
servesInstitution
Indicates that one entity provides services or functions in support of a particular institution.
-
E.
supportsInstitution
Indicates that one entity provides assistance, resources, or endorsement to help sustain or advance an institution.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2991ac8819089b8c2d70eb88952 |
completed | April 20, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.