Triple
T21332909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhind district |
E525957
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Mehgaon |
—
|
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: Mehgaon | Statement: [Bhind district, hasTown, Mehgaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mehgaon Context triple: [Bhind district, hasTown, Mehgaon]
-
A.
Mehgaon
chosen
Mehgaon is a town and legislative assembly constituency in the Bhind district of Madhya Pradesh, India.
-
B.
Bhadgaon
Bhadgaon is another name for Bhaktapur, a historic Newar city in the Kathmandu Valley of Nepal renowned for its well-preserved medieval architecture, art, and culture.
-
C.
Khamgaon
Khamgaon is a city in the Buldhana district of Maharashtra, India, known as a regional commercial and educational center.
-
D.
Bhikangaon
Bhikangaon is a town in the Khargone district of the central Indian state of Madhya Pradesh, functioning as a local commercial and administrative center for surrounding rural areas.
-
E.
Maijgaon
Maijgaon is a railway station in the Sylhet region of Bangladesh that serves as a local stop on the route connected to Sylhet railway station.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5ba65c4081908b93d5dc6a937cb6 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 4:42 p.m.