Triple
T33019249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aazhi Ther |
E844858
|
entity |
| Predicate | transportedObject |
P198365
|
FINISHED |
| Object | processional deities of Thyagaraja Temple |
—
|
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: processional deities of Thyagaraja Temple | Statement: [Aazhi Ther, transportedObject, processional deities of Thyagaraja Temple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportedObject Context triple: [Aazhi Ther, transportedObject, processional deities of Thyagaraja Temple]
-
A.
transportedWith
Indicates that one entity was moved or carried together with another entity as part of the same transport event.
-
B.
transportedFor
Indicates that one entity was moved or carried from one place to another for the benefit, use, or purpose of another entity or activity.
-
C.
transportedIn
Indicates that one entity is carried or conveyed inside another entity as a means of transport.
-
D.
transportedOver
Indicates that something is moved or carried across or along a specified medium, route, or surface.
-
E.
transportedAfter
Indicates that one entity is transported only after the transportation of another entity has occurred in time.
- 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fedfd913f48190bdcd450980868d9a |
completed | May 9, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fedf58c6e88190821a7156054c9086 |
completed | May 9, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69fedfd850ec81909b55f90dc850167e |
completed | May 9, 2026, 7:18 a.m. |
Created at: May 1, 2026, 1:23 a.m.