Triple
T22202745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lunawada State |
E548720
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Mahi Kantha |
—
|
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: Mahi Kantha | Statement: [Lunawada State, region, Mahi Kantha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahi Kantha Context triple: [Lunawada State, region, Mahi Kantha]
-
A.
Mahi Kantha
chosen
Mahi Kantha was a historical region in western India comprising a group of princely states that were administered together under British colonial rule.
-
B.
Tembhu
Tembhu is a village in Maharashtra, India, known as the birthplace of social reformer and educationist Gopal Ganesh Agarkar.
-
C.
Alakavati
Alakavati is another name for Alakapuri, the legendary celestial city associated with Kubera in Hindu mythology.
-
D.
Kalahandi
Kalahandi is a district in the Indian state of Odisha, known for its agrarian economy, tribal population, and history of both rich cultural heritage and severe drought-related poverty.
-
E.
Padmabati
Padmabati is a central fictional character in Bankim Chandra Chattopadhyay’s Bengali novel "Kapalkundala," playing a key role in its romantic and dramatic narrative.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b24c6fc81909e6ae62564846bd1 |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.