Triple
T7958237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utkal University |
E184795
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | UGC |
E55514
|
NE 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: UGC | Statement: [Utkal University, affiliation, UGC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UGC Context triple: [Utkal University, affiliation, UGC]
-
A.
UGC
chosen
UGC (University Grants Commission) is a statutory body of the Indian government responsible for coordinating, determining, and maintaining standards of higher education in India.
-
B.
UGC
UGC is an astronomical catalog of galaxies widely used to identify and classify extragalactic objects such as the Leo II Dwarf Galaxy.
-
C.
UC
UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
-
D.
UC
UC is the commonly used abbreviation for Universal Credit, the United Kingdom’s main welfare benefit for people on a low income or out of work.
-
E.
UC
UC is a leading Chilean university, widely recognized for its academic excellence and strong influence in education, research, and public policy in Latin America.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b7ebb24819094bc011d51ef63fb |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe07d31a881909e891fdd73c4467b |
completed | March 31, 2026, 2:55 p.m. |
Created at: March 30, 2026, 5:11 p.m.