Triple
T32396491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nalanda copper-plate inscription |
E827823
|
entity |
| Predicate | religiousAffiliationOfPatron |
P198493
|
FINISHED |
| Object | Buddhism |
—
|
NE NERFINISHED |
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: Buddhism | Statement: [Nalanda copper-plate inscription, religiousAffiliationOfPatron, Buddhism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousAffiliationOfPatron Context triple: [Nalanda copper-plate inscription, religiousAffiliationOfPatron, Buddhism]
-
A.
religiousPatronageIn
Indicates that an entity provides religious patronage, support, or sponsorship within a specified place or region.
-
B.
creatorReligiousAffiliation
Indicates the religious affiliation or tradition with which a creator is associated.
-
C.
hostReligion
Indicates that an entity organizes, accommodates, or provides a venue for a particular religious group, event, or practice.
-
D.
religionOfCourt
Indicates the religious affiliation associated with a particular court.
-
E.
religionOfMonarch
Indicates the religious affiliation or faith practiced by a given monarch.
- 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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feecf1bb248190ba30f0bb1d22ee08 |
completed | May 9, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69feea5f27748190b223ee4e3ba5a678 |
completed | May 9, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69feecf102e08190b237c29e45beeca0 |
completed | May 9, 2026, 8:14 a.m. |
Created at: May 1, 2026, 12:52 a.m.