Triple
T6143353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kannur |
E137014
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kasaragod |
E414472
|
NE FINISHED |
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: Kasaragod | Statement: [Kannur, locatedNear, Kasaragod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasaragod Context triple: [Kannur, locatedNear, Kasaragod]
-
A.
Kasargod district
chosen
Kasargod district is a northern Kerala district in India known for its linguistic diversity, coastal landscapes, and cultural blend of Kerala and neighboring Karnataka.
-
B.
Kannur
Kannur is a historic coastal city in the Indian state of Kerala, known for its role in maritime trade, colonial-era forts, and rich Theyyam ritual art traditions.
-
C.
Malabar District
Malabar District was a former administrative region in southwestern India under British rule, later incorporated into the state of Kerala.
-
D.
Wayanad
Wayanad is a scenic hill district in Kerala, India, known for its lush forests, wildlife sanctuaries, waterfalls, and spice plantations.
-
E.
North Canara
North Canara is a coastal district in the Indian state of Karnataka, known for its Arabian Sea shoreline, Western Ghats forests, and diverse cultural and linguistic heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb50cb0819081ac64becf7aaf55 |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c603d90bcc81908f819a9e262ec17a |
completed | March 27, 2026, 4:13 a.m. |
Created at: March 22, 2026, 4:16 p.m.