Triple
T34424806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udupi Sri Krishna Temple |
E883637
|
entity |
| Predicate | offersPrasada |
P133355
|
FINISHED |
| Object | Udupi cuisine |
—
|
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: Udupi cuisine | Statement: [Udupi Sri Krishna Temple, offersPrasada, Udupi cuisine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersPrasada Context triple: [Udupi Sri Krishna Temple, offersPrasada, Udupi cuisine]
-
A.
offersPrasadam
chosen
Indicates that one entity provides or distributes consecrated food (prasadam) to another entity.
-
B.
offersMeal
Indicates that one entity provides or makes available a meal to another entity.
-
C.
offersObject
Indicates that a subject provides or makes available a specific object to another party as an offer.
-
D.
offersCuisine
Indicates that one entity provides or serves a particular type or style of cuisine to others.
-
E.
offersPreparationFor
Indicates that one entity provides training, resources, or support intended to ready another entity for a specific task, role, event, or condition.
- 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_69f349c3dd2c819092cc9e64809f4a42 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
Created at: May 1, 2026, 2 a.m.