Triple
T16964297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagamandala |
E411504
|
entity |
| Predicate | isAssociatedWithDeityType |
P102272
|
FINISHED |
| Object | serpent deities |
—
|
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: serpent deities | Statement: [Nagamandala, isAssociatedWithDeityType, serpent deities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAssociatedWithDeityType Context triple: [Nagamandala, isAssociatedWithDeityType, serpent deities]
-
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.
hasDeity
Indicates that one entity recognizes, worships, or is associated with another entity as its deity or divine figure.
-
D.
associatedDeityOrForce
chosen
Indicates that one entity is linked to, represented by, or under the influence of a particular deity or supernatural force.
-
E.
representsDeity
Indicates that one entity serves as a symbolic, artistic, or conceptual depiction of a deity associated with another entity.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a2cda88190bd574a869f0e43e9 |
completed | April 18, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e32b9cddf88190bc42709604047353 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.