Triple
T18749411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kannur International Airport |
E458487
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Mattannur |
—
|
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: Mattannur | Statement: [Kannur International Airport, nearCity, Mattannur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mattannur Context triple: [Kannur International Airport, nearCity, Mattannur]
-
A.
Mattannur
chosen
Mattannur is a town in the Kannur district of Kerala, India, known primarily as the site of Kannur International Airport.
-
B.
Thekkumkur
Thekkumkur was a small erstwhile kingdom in the Kerala region of South India that later became part of the expanding Travancore state.
-
C.
Ponnani
Ponnani is a historic coastal town and former trading port in the Malabar region of Kerala, India, known for its cultural and religious significance, especially in Islamic scholarship.
-
D.
Kuttippuram
Kuttippuram is a town in the Malappuram district of Kerala, India, known as a key transport hub and riverside settlement along the Bharathapuzha.
-
E.
Thiruvalla
Thiruvalla is a prominent town in the Pathanamthitta district of Kerala, India, known as a commercial and cultural hub with significant religious centers and educational institutions.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579eb7350819099d7291207781116 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.