Triple
T25294143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dandayudhapani Swamy |
E634169
|
entity |
| Predicate | hasMajorTempleLocation |
P21132
|
FINISHED |
| Object | Palani hill |
—
|
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: Palani hill | Statement: [Dandayudhapani Swamy, hasMajorTempleLocation, Palani hill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorTempleLocation Context triple: [Dandayudhapani Swamy, hasMajorTempleLocation, Palani hill]
-
A.
hasTempleLocation
Indicates that a temple is located at or associated with a specific place or geographic location.
-
B.
majorTempleLocation
chosen
Indicates that a major temple associated with an entity is located at a specified place.
-
C.
hasTempleOf
Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
-
D.
hasMajorShrine
Indicates that one entity serves as a principal or primary shrine dedicated to another entity.
-
E.
hasNotableTemple
Indicates that an entity is associated with a temple that is recognized as particularly important, famous, or significant.
- 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 21, 2026, 1:22 p.m.