Triple
T20099736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaimur district |
E496500
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Magahi |
—
|
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: Magahi | Statement: [Kaimur district, hasLanguage, Magahi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magahi Context triple: [Kaimur district, hasLanguage, Magahi]
-
A.
Magahi
chosen
Magahi is an Eastern Indo-Aryan language spoken primarily in the Indian state of Bihar and surrounding regions.
-
B.
Mohanchoti
Mohanchoti is an island located within Lake Pichola in Udaipur, Rajasthan, India.
-
C.
Baragadhi
Baragadhi is a local administrative area and settlement located within Madhesh Province in southeastern Nepal.
-
D.
Mahagadhimai
Mahagadhimai is a municipality in Nepal known for its religious significance and the famous Gadhimai temple and festival.
-
E.
Mauganj
Mauganj is a legislative assembly constituency in the Indian state of Madhya Pradesh.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666f2298819089659f13556ca305 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:26 p.m.