Triple
T34424784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udupi Sri Krishna Temple |
E883637
|
entity |
| Predicate | ashtaMatha |
P59298
|
FINISHED |
| Object | Palimaru Matha |
—
|
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: Palimaru Matha | Statement: [Udupi Sri Krishna Temple, ashtaMatha, Palimaru Matha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ashtaMatha Context triple: [Udupi Sri Krishna Temple, ashtaMatha, Palimaru Matha]
-
A.
hasMatha
chosen
Indicates a relationship where one entity possesses, is associated with, or is characterized by a specific matha (monastic institution or religious seat).
-
B.
inSamkhya
Indicates that something is situated within, belongs to, or is characterized as part of the Sāṃkhya philosophical system or framework.
-
C.
Prasannapadā_type
Indicates that something is classified as belonging to the Prasannapadā type, i.e., it stands in a relation of being of the same kind or category as the Prasannapadā.
-
D.
VajranabhaIs
Indicates that something or someone is identified as or characterized by being Vajranabha.
-
E.
hasAshramaAt
Indicates that an ashrama (hermitage or spiritual retreat) is located at or associated with a specific place.
- 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_69f71947ad88819082ab9d85dd493b01 |
completed | May 3, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 2 a.m.