Triple
T25555117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paramekkavu Bhagavathy Temple |
E640546
|
entity |
| Predicate | primaryDeityGender |
P118405
|
FINISHED |
| Object | female |
—
|
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: female | Statement: [Paramekkavu Bhagavathy Temple, primaryDeityGender, female]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDeityGender Context triple: [Paramekkavu Bhagavathy Temple, primaryDeityGender, female]
-
A.
genderOfReferencedDeity
chosen
Indicates that the relationship specifies the gender associated with a particular referenced deity.
-
B.
mainDeity
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).
-
C.
includesMaleDeity
Indicates that the referenced set, group, or context contains at least one male deity as a member or participant.
-
D.
typeOfDeity
Indicates that one entity is classified as a specific kind or category of deity in relation to another.
-
E.
priesthoodGender
Indicates the gender associated with a particular priesthood role or office.
- 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 21, 2026, 3:39 p.m.