Triple
T25693749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagara Latina |
E644262
|
entity |
| Predicate | usedForDeityType |
P162596
|
FINISHED |
| Object | Shaiva temples |
—
|
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: Shaiva temples | Statement: [Nagara Latina, usedForDeityType, Shaiva temples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForDeityType Context triple: [Nagara Latina, usedForDeityType, Shaiva temples]
-
A.
appliesToDeityIn
Indicates that something (such as a rule, attribute, or statement) is relevant or applicable to a deity within a specified context or domain.
-
B.
typeOfDeity
Indicates that one entity is classified as a specific kind or category of deity in relation to another.
-
C.
representsDeity
Indicates that one entity serves as a symbolic, artistic, or conceptual depiction of a deity associated with another entity.
-
D.
targetedDeity
Indicates that an action, event, or entity is specifically directed toward or aimed at a particular deity.
-
E.
hasDeity
Indicates that one entity recognizes, worships, or is associated with another entity as its deity or divine figure.
- 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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f62b9e5ba88190a3c0d46edec7afe7 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f627ad6d4c81909796d39d78e414f9 |
completed | May 2, 2026, 4:34 p.m. |
Created at: April 21, 2026, 8:32 p.m.