Triple
T25283067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panchamirtham |
E633867
|
entity |
| Predicate | offeredAtTemple |
P61221
|
FINISHED |
| Object | Palani Murugan Temple |
—
|
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 Murugan Temple | Statement: [Panchamirtham, offeredAtTemple, Palani Murugan Temple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offeredAtTemple Context triple: [Panchamirtham, offeredAtTemple, Palani Murugan Temple]
-
A.
hasVotiveOfferings
Indicates that an entity possesses or is associated with votive offerings dedicated or presented in a religious or ritual context.
-
B.
isOftenOfferedToDeity
chosen
Indicates that something is frequently presented or dedicated as an offering to a deity.
-
C.
residesInTemple
Indicates that one entity lives or dwells within a temple associated with another entity.
-
D.
endsAtTemple
Indicates that an event, path, or process concludes at a temple as its final location or destination.
-
E.
hasTempleOf
Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
- 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 21, 2026, 1:19 p.m.