Triple
T20499284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kheer Bhawani Temple |
E503257
|
entity |
| Predicate | hasMaterialOffering |
P76700
|
FINISHED |
| Object | rice pudding (kheer) |
—
|
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: rice pudding (kheer) | Statement: [Kheer Bhawani Temple, hasMaterialOffering, rice pudding (kheer)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaterialOffering Context triple: [Kheer Bhawani Temple, hasMaterialOffering, rice pudding (kheer)]
-
A.
hasOffering
Indicates that one entity provides, presents, or makes available an offering (such as a product, service, or item) to another entity or context.
-
B.
offersMaterialIn
Indicates that an entity provides or makes available a particular material within a specified context, location, or medium.
-
C.
hasMaterialOption
Indicates that an entity can be made from, or is available in, one or more alternative materials.
-
D.
usedAsOfferingAt
chosen
Indicates that something is employed or presented as an offering in a particular context, place, or event.
-
E.
offeredOver
Indicates that one entity has been proposed, presented, or made available to another entity as an option or opportunity.
- 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.