Triple
T11589263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khargone district |
E274834
|
entity |
| Predicate | commonlySpokenLanguage |
P7445
|
FINISHED |
| Object | Nimadi |
E282521
|
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: Nimadi | Statement: [Khargone district, commonlySpokenLanguage, Nimadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nimadi Context triple: [Khargone district, commonlySpokenLanguage, Nimadi]
-
A.
Nimadi
chosen
Nimadi is an Indo-Aryan language spoken primarily in the Nimar region of Madhya Pradesh in central India.
-
B.
Némi
Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
-
C.
Nimmu
Nimmu is a small village in the Leh district of Ladakh, India, known as a scenic stop on the Srinagar–Leh highway and a popular rafting and sightseeing point near the confluence of the Indus and Zanskar rivers.
-
D.
Nimaathap
Nimaathap was an ancient Egyptian queen of the late 2nd Dynasty, likely a royal consort and mother of early 3rd Dynasty kings.
-
E.
Nimaima
Nimaima is a small town and municipality in the Gualivá Province of the Cundinamarca Department in central Colombia.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89463360c8190b91228c46bfe2e5f |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e71451f1388190b72d7b755d198999 |
completed | April 21, 2026, 6:08 a.m. |
Created at: April 8, 2026, 9:38 p.m.