Triple
T18725207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Canara |
E457881
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Sirsi |
—
|
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: Sirsi | Statement: [North Canara, hasTown, Sirsi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirsi Context triple: [North Canara, hasTown, Sirsi]
-
A.
Sirsi
chosen
Sirsi is a town in Karnataka, India, known for its lush forests, waterfalls, and role as a commercial and cultural center in the Uttara Kannada region.
-
B.
Sucharita
Sucharita is a central female character in Rabindranath Tagore’s Bengali novel "Gora," known for her introspective nature and evolving views on identity, religion, and social norms.
-
C.
Suray Surita
Suray Surita is a musical track featured on the album "Legend of the Sun Virgin."
-
D.
Kshipra
Kshipra is a sacred river in central India, best known for flowing through the holy city of Ujjain and its importance in Hindu religious traditions and festivals.
-
E.
Sarla
Sarla is a character from the Indian television drama series "In Custody," playing a key role in the show's central narrative.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d72d2c4819080b0d31860976b5e |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:50 a.m.