Triple
T20499267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kheer Bhawani Temple |
E503257
|
entity |
| Predicate | hasSacredFeature |
P57297
|
FINISHED |
| Object | sacred spring |
—
|
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: sacred spring | Statement: [Kheer Bhawani Temple, hasSacredFeature, sacred spring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSacredFeature Context triple: [Kheer Bhawani Temple, hasSacredFeature, sacred spring]
-
A.
hasSacredSymbol
Indicates that one entity serves as a sacred or religiously significant symbol associated with another entity.
-
B.
hasSacredFunction
Indicates that something serves a religious or holy role, purpose, or duty within a sacred context.
-
C.
hasSacredNumber
Indicates that a particular number is regarded as sacred, holy, or spiritually significant in relation to an entity.
-
D.
hasSacredSpring
chosen
Indicates that one entity possesses, contains, or is associated with a spring regarded as sacred or holy.
-
E.
hasSacredNarrative
Indicates that one entity possesses, contains, or is associated with a sacred or religiously significant narrative related to another 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbff210819089900e9a35911f48 |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:35 a.m.