Triple
T21886893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pajaka |
E540427
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Udupi |
—
|
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: Udupi | Statement: [Pajaka, near, Udupi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Udupi Context triple: [Pajaka, near, Udupi]
-
A.
Udupi
chosen
Udupi is a coastal city in the Indian state of Karnataka, renowned for its historic Krishna temple, distinctive Udupi cuisine, and cultural and educational institutions.
-
B.
Belthangady
Belthangady is a town in the Dakshina Kannada district of Karnataka, India, known as a local commercial and administrative center in the region.
-
C.
Hubli
Hubli is a major commercial and transportation hub in the Indian state of Karnataka, known for its busy railway junction and growing industrial economy.
-
D.
Kuppali
Kuppali is a village in the Indian state of Karnataka, best known as the birthplace and childhood home of the renowned Kannada writer Kuvempu (Kuppali Venkatappa Puttappa).
-
E.
Tharangambadi
Tharangambadi is a historic coastal town in Tamil Nadu, India, known for its former Danish colonial settlement, seaside fort, and blend of Indian and European heritage.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118ed35948190bbffba2c40029eee |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 16, 2026, 7:05 p.m.