Triple
T3895274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deccan Education Society |
E88155
|
entity |
| Predicate | notableInstitutionType |
P29027
|
FINISHED |
| Object | college |
—
|
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: college | Statement: [Deccan Education Society, notableInstitutionType, college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInstitutionType Context triple: [Deccan Education Society, notableInstitutionType, college]
-
A.
notableInstitution
Indicates that an institution holds particular significance, prominence, or recognition in relation to the subject.
-
B.
notableAlmaMater
Indicates that an educational institution is a particularly significant or distinguished alma mater of a person or entity, beyond merely having attended or graduated.
-
C.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
D.
associatedInstitutionType
chosen
Indicates the type or category of institution with which an entity is associated.
-
E.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.