Triple
T2848342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Stephen's College, University of Delhi |
E63033
|
entity |
| Predicate | foundingReligiousAffiliation |
P4028
|
FINISHED |
| Object | Anglican |
—
|
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: Anglican | Statement: [St. Stephen's College, University of Delhi, foundingReligiousAffiliation, Anglican]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundingReligiousAffiliation Context triple: [St. Stephen's College, University of Delhi, foundingReligiousAffiliation, Anglican]
-
A.
foundedReligion
Indicates that an entity established or originated a particular religion.
-
B.
religiousAffiliationAtFoundation
chosen
Indicates the religious denomination or tradition with which an entity was affiliated at the time it was founded.
-
C.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
D.
associatedReligionText
Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
-
E.
religiousBackgroundOfBase
Indicates the religious background or affiliation associated with a given base or primary entity.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf403698819084fb4ace5839aa05 |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd0e86808190bcefffafbd3cd441 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.