Triple
T5684232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nimar |
E125271
|
entity |
| Predicate | languageRegionFor |
P10892
|
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: [Nimar, languageRegionFor, Nimadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nimadi Context triple: [Nimar, languageRegionFor, Nimadi]
-
A.
Nimadi
chosen
Nimadi is an Indo-Aryan language spoken primarily in the Nimar region of Madhya Pradesh in central India.
-
B.
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.
-
C.
Nimaathap
Nimaathap was an ancient Egyptian queen of the late 2nd Dynasty, likely a royal consort and mother of early 3rd Dynasty kings.
-
D.
Nimai
Nimai is another name for Chaitanya Mahaprabhu, the 15th-century Bengali saint and founder of Gaudiya Vaishnavism who promoted ecstatic devotion to Krishna.
-
E.
Nomi
Nomi is the new 00-agent who succeeds James Bond in the 2021 James Bond film "No Time to Die."
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023b8efc4819085675d0d3dfb2a54 |
completed | March 22, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a3d2b348190b44a067f485bca70 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:44 p.m.