Triple
T18692729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dakhni |
E457039
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Bidar Dakhni |
—
|
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: Bidar Dakhni | Statement: [Dakhni, hasDialect, Bidar Dakhni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bidar Dakhni Context triple: [Dakhni, hasDialect, Bidar Dakhni]
-
A.
Bidar
chosen
Bidar is a historic city in the Indian state of Karnataka, renowned for its medieval fort, rich Deccan Sultanate heritage, and distinctive Bidri metalwork.
-
B.
Bangalore Dakhni
Bangalore Dakhni is a regional variety of the Dakhni Urdu-influenced dialect spoken in and around Bangalore, characterized by a blend of Urdu, Kannada, and local linguistic features.
-
C.
Gadag
Gadag is a historic town in Karnataka, India, renowned for its richly carved medieval temples and monuments from the Western Chalukya architectural tradition.
-
D.
Belgaum
Belgaum is a major city in the Indian state of Karnataka, known as an important commercial, industrial, and military hub near the Maharashtra–Goa border.
-
E.
Bijapur
Bijapur is a historic city in the Indian state of Karnataka, renowned for its rich Islamic architecture and monuments from the medieval Deccan period.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e4756881909335e1e7b3c23e28 |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.