Triple
T36687560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krishna I |
E905861
|
entity |
| Predicate | associatedReligionOfMonuments |
P106589
|
FINISHED |
| Object | Shaivite Hinduism |
—
|
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: Shaivite Hinduism | Statement: [Krishna I, associatedReligionOfMonuments, Shaivite Hinduism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedReligionOfMonuments Context triple: [Krishna I, associatedReligionOfMonuments, Shaivite Hinduism]
-
A.
associatedReligionBuilding
chosen
Indicates that there is a relationship between a religion and a specific building that is connected to, used by, or significant for that religion.
-
B.
associatedReligionForRelic
Indicates the religion with which a particular relic is associated.
-
C.
religiousObjectAssociated
Indicates that a religious object is associated with, connected to, or used in relation to another entity (such as a person, place, event, or practice).
-
D.
religiousBuildingDedicatedTo
Indicates that a religious building is formally dedicated or consecrated to a particular deity, figure, or religious concept.
-
E.
religiousSiteType
Indicates the specific kind or category of religious site associated with an entity (e.g., church, mosque, temple).
- 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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:12 p.m.