Triple
T20936914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalahandi district |
E515609
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Bhawanipatna |
—
|
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: Bhawanipatna | Statement: [Kalahandi district, hasAdministrativeCenter, Bhawanipatna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhawanipatna Context triple: [Kalahandi district, hasAdministrativeCenter, Bhawanipatna]
-
A.
Bhawanipatna
chosen
Bhawanipatna is a town in the Indian state of Odisha known as an administrative and commercial center of the Kalahandi region.
-
B.
Vallabhnagar
Vallabhnagar is a town in the Indian state of Rajasthan, known for its rural setting and administrative role within the Udaipur region.
-
C.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
-
D.
Bhusawal
Bhusawal is a major railway and commercial city in Maharashtra, India, known for its large railway junction and banana-growing region.
-
E.
Koliwada
Koliwada is a traditional coastal fishing village settlement of the Koli community, commonly found along the shores of Maharashtra, especially in Mumbai.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f9527004819082b72bf15e3c6419 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:49 p.m.