Triple
T11620393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University Grants Commission Act, 1956 |
E275620
|
entity |
| Predicate | empowersUGCTo |
P33518
|
FINISHED |
| Object | coordinate university education |
—
|
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: coordinate university education | Statement: [University Grants Commission Act, 1956, empowersUGCTo, coordinate university education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: empowersUGCTo Context triple: [University Grants Commission Act, 1956, empowersUGCTo, coordinate university education]
-
A.
empoweredBodyTo
chosen
Indicates that one entity has granted another entity the authority, power, or legal capacity to act or make decisions on its behalf.
-
B.
empoweredAgencyTo
Indicates that one entity has granted another entity the authority or power to act or make decisions on its behalf.
-
C.
powerBy
Indicates that one entity operates, functions, or is made possible through the energy, resources, or enabling capabilities provided by another entity.
-
D.
enhancesPowersOf
Indicates that one entity increases, amplifies, or strengthens the abilities or powers of another entity.
-
E.
laterPoweredBy
Indicates that one entity is powered or driven by another entity at a later time or in a subsequent version or phase.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a1206f1c81908d92024ef71958c0 |
completed | April 10, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.