Triple
T36590191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanjangud |
E902647
|
entity |
| Predicate | SrikanteshwaraTemple_significance |
P186057
|
FINISHED |
| Object | major Shaivite pilgrimage center |
—
|
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: major Shaivite pilgrimage center | Statement: [Nanjangud, SrikanteshwaraTemple_significance, major Shaivite pilgrimage center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SrikanteshwaraTemple_significance Context triple: [Nanjangud, SrikanteshwaraTemple_significance, major Shaivite pilgrimage center]
-
A.
foundedTemple
Indicates that an entity established or created a temple, typically as its founder.
-
B.
oneOfOldestTemplesIn
Indicates that a temple is among the oldest temples located within a specified place or region.
-
C.
templeComplexFeature
Indicates that one entity is a structural or functional feature that forms part of a larger temple complex.
-
D.
templeAlsoHonors
Indicates that a temple, in addition to its primary dedication, honors or venerates another deity, figure, or sacred subject.
-
E.
templeState
Indicates that a temple is in a particular condition, status, or phase (such as operational, under construction, abandoned, or ceremonial).
- F. None of above. chosen
Provenance (4 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:11 p.m.