Triple
T25294146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dandayudhapani Swamy |
E634169
|
entity |
| Predicate | isPrincipalDeityOf |
P7648
|
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: [Dandayudhapani Swamy, isPrincipalDeityOf, Palani Murugan Temple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrincipalDeityOf Context triple: [Dandayudhapani Swamy, isPrincipalDeityOf, Palani Murugan Temple]
-
A.
mainDeity
chosen
Indicates that one entity serves as the primary or chief deity worshiped, revered, or associated with another entity (such as a religion, temple, or culture).
-
B.
patronDeityOf
Indicates that one entity serves as the protective or primary deity associated with, worshipped by, or presiding over another entity (such as a person, group, or place).
-
C.
typeOfDeity
Indicates that one entity is classified as a specific kind or category of deity in relation to another.
-
D.
hasDeity
Indicates that one entity recognizes, worships, or is associated with another entity as its deity or divine figure.
-
E.
partOfPantheon
Indicates that an entity is a member or constituent deity of a particular pantheon or religious tradition.
- 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_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 21, 2026, 1:22 p.m.