Triple
T23496571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolathunadu |
E571720
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Kannur |
—
|
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: Kannur | Statement: [Kolathunadu, capital, Kannur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kannur Context triple: [Kolathunadu, capital, Kannur]
-
A.
Kannur
chosen
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.
-
B.
Kozhikode
Kozhikode is a major coastal city in southern India historically known as Calicut, famed as a key medieval trading port and the landing place of Portuguese explorer Vasco da Gama.
-
C.
Kollam
Kollam is a historic coastal city in the southern Indian state of Kerala, known for its cashew processing industry, ancient trading port, and scenic Ashtamudi Lake backwaters.
-
D.
Kannur district
Kannur district is a coastal district in the northern part of Kerala, India, known for its historic trade links, Theyyam ritual art, and scenic beaches.
-
E.
Kottayam
Kottayam is a prominent town in the Indian state of Kerala known as a major center of Syrian Christian heritage, education, and publishing.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7e00384819092729319a378d4ab |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:05 p.m.