Triple
T20183739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulu Nadu |
E492799
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Bantwal |
—
|
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: Bantwal | Statement: [Tulu Nadu, hasMajorTown, Bantwal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bantwal Context triple: [Tulu Nadu, hasMajorTown, Bantwal]
-
A.
Bantwal
chosen
Bantwal is a town in the Dakshina Kannada region of Karnataka, India, known historically as a commercial center on the banks of the Netravati River.
-
B.
Bhatkal
Bhatkal is a historic coastal town in Karnataka, India, known for its Arabian Sea shoreline, trading legacy, and distinctive Nawayath Muslim culture.
-
C.
Sullia
Sullia is a town in the Dakshina Kannada district of Karnataka, India, known as a local commercial and educational center in the region.
-
D.
Gadag
Gadag is a historic town in Karnataka, India, renowned for its richly carved medieval temples and monuments from the Western Chalukya architectural tradition.
-
E.
Belthangady
Belthangady is a town in the Dakshina Kannada district of Karnataka, India, known as a local commercial and administrative center in the region.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f068748190a0941e98ef5afd59 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.