Triple
T33077649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamalambal Temple |
E846410
|
entity |
| Predicate | dedicatedToFormOf |
P121335
|
FINISHED |
| Object | Parvati |
—
|
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: Parvati | Statement: [Kamalambal Temple, dedicatedToFormOf, Parvati]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicatedToFormOf Context triple: [Kamalambal Temple, dedicatedToFormOf, Parvati]
-
A.
dedicatedToStyleOf
Indicates that something is devoted or specifically tailored to a particular style or manner of expression.
-
B.
dedicatedToConcept
Indicates that something is specifically devoted, committed, or purposefully directed toward a particular concept or abstract idea.
-
C.
takesFormOf
chosen
Indicates that one entity assumes, manifests, or is expressed in the shape, structure, or configuration of another entity.
-
D.
dedicated
Indicates that one entity is formally assigned, reserved, or committed for the specific use, benefit, or purpose of another entity.
-
E.
oftenDedicatedTo
Indicates that something is frequently or habitually devoted, assigned, or committed to a particular purpose, activity, or recipient.
- 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_69f34954d46c8190a04a159cc5f99efd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:25 a.m.