Triple
T5083849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundeli |
E114586
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Datia district |
E506960
|
NE FINISHED |
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: Datia district | Statement: [Bundeli, spokenIn, Datia district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Datia district Context triple: [Bundeli, spokenIn, Datia district]
-
A.
Datia district
chosen
Datia district is an administrative district in the central Indian state of Madhya Pradesh, known for its historic forts and temples.
-
B.
Narmada district
Narmada district is an administrative district in the state of Gujarat, India, known for the Narmada River and the Statue of Unity near Kevadia.
-
C.
Jabalpur district
Jabalpur district is an administrative district in the central Indian state of Madhya Pradesh, known for its urban center Jabalpur city and proximity to natural and historical attractions.
-
D.
Amravati district
Amravati district is an administrative district in the state of Maharashtra, India, known for its agricultural economy and as part of the Vidarbha region.
-
E.
Kalahandi district
Kalahandi district is an administrative region in the Indian state of Odisha, known for its tribal population, cultural diversity, and historical association with poverty and drought.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7517af308190bab5507a9344bf68 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf8bc2fa4c8190b2c62f30ba46a8b9 |
completed | March 22, 2026, 6:27 a.m. |
Created at: March 20, 2026, 1:39 p.m.