Triple
T365209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidency College, Madras |
E7944
|
entity |
| Predicate | NAACAccreditation |
P117
|
FINISHED |
| Object | A grade |
—
|
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: A grade | Statement: [Presidency College, Madras, NAACAccreditation, A grade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NAACAccreditation Context triple: [Presidency College, Madras, NAACAccreditation, A grade]
-
A.
accreditation
chosen
Indicates that an authoritative body has formally recognized an entity as meeting specified standards or requirements.
-
B.
scopeOfAccreditation
Indicates the specific range, domains, or activities for which an entity’s accreditation or formal recognition is valid and applicable.
-
C.
doesNotAccredit
Indicates that an entity with authority to grant accreditation has chosen not to recognize another entity, program, or activity as meeting required standards.
-
D.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
E.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebe6c1b4819083335e880c205ed6 |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95dbb208190b277fc5352a4ee84 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.