Triple
T20183737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulu Nadu |
E492799
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Karkala |
—
|
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: Karkala | Statement: [Tulu Nadu, hasMajorTown, Karkala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karkala Context triple: [Tulu Nadu, hasMajorTown, Karkala]
-
A.
Karkala
chosen
Karkala is a historic town in Karnataka, India, renowned for its towering monolithic statue of Bahubali and its significance as a major Digambara Jain pilgrimage center.
-
B.
Mangalore
Mangalore is a major port city on the southwestern coast of India, known for its maritime trade, diverse culture, and role as a commercial hub of Karnataka.
-
C.
Madikeri
Madikeri is a scenic hill town in Karnataka’s Coorg region, known for its cool climate, coffee plantations, and lush Western Ghats landscapes.
-
D.
Belthangady
Belthangady is a town in the Dakshina Kannada district of Karnataka, India, known as a local commercial and administrative center in the region.
-
E.
Tumakuru
Tumakuru is a major city in the Indian state of Karnataka, known as an important industrial, educational, and commercial 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.