Triple
T21163090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basavanna |
E521488
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Bagevadi |
—
|
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: Bagevadi | Statement: [Basavanna, birthPlace, Bagevadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagevadi Context triple: [Basavanna, birthPlace, Bagevadi]
-
A.
Bagevadi
chosen
Bagevadi is a town in the Indian state of Karnataka, historically renowned as the birthplace of the 12th-century social reformer and philosopher Basava.
-
B.
Balewadi
Balewadi is a suburban locality in Pune, India, known for its rapidly developing residential areas and major sports infrastructure.
-
C.
Talegaon
Talegaon is an industrial town in the Pune Metropolitan Region of Maharashtra, India, known for its manufacturing hubs and proximity to Pune city.
-
D.
Bantva
Bantva is a town in the Indian state of Gujarat, historically known as a trading center and as the birthplace of renowned humanitarian Abdul Sattar Edhi.
-
E.
Vithalwadi
Vithalwadi is a suburban railway station in the Mumbai metropolitan area that serves local commuters on the Central Line.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72532e9348190ad37fe858843d0f5 |
completed | April 21, 2026, 7:20 a.m. |
Created at: April 16, 2026, 2:59 p.m.