Triple
T37044123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sholinghur |
E916859
|
entity |
| Predicate | templeTradition |
P24121
|
FINISHED |
| Object | Sri Vaishnava tradition |
—
|
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: Sri Vaishnava tradition | Statement: [Sholinghur, templeTradition, Sri Vaishnava tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: templeTradition Context triple: [Sholinghur, templeTradition, Sri Vaishnava tradition]
-
A.
templePractice
Indicates a religious or ritual activity that is performed within or in connection with a temple.
-
B.
religiousTraditions
chosen
Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
-
C.
religionAccordingToTradition
Indicates that an entity’s religion is identified or classified according to a particular tradition or customary understanding, rather than strictly formal or official criteria.
-
D.
BuddhistTradition
Indicates that an entity follows, embodies, or is associated with Buddhist religious, philosophical, or cultural traditions.
-
E.
templeType
Indicates the specific category or classification of a temple in terms of its form, function, or religious/architectural style.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.