Triple
T365208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidency College, Madras |
E7944
|
entity |
| Predicate | UGCStatus |
P12763
|
FINISHED |
| Object | College with Potential for Excellence |
—
|
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 with Potential for Excellence | Statement: [Presidency College, Madras, UGCStatus, College with Potential for Excellence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UGCStatus Context triple: [Presidency College, Madras, UGCStatus, College with Potential for Excellence]
-
A.
globalPresence
Indicates that an entity operates, is represented, or has a significant footprint across multiple countries or world regions.
-
B.
exportStatus
Indicates the current state or outcome of an entity’s export process (e.g., pending, in progress, completed, or failed).
-
C.
socialComposition
Indicates the makeup or distribution of different social groups or categories within a population or community.
-
D.
collectorStatus
Indicates the current operational or lifecycle state of a collector in relation to its collection activity.
-
E.
sharesStatusWith
Indicates that two entities have the same status or state within a given context.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69a2eafc8da88190b4a05182f4384442 |
completed | Feb. 28, 2026, 1:17 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.