Triple
T6541508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooch Behar Airport |
E168298
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Cooch Behar |
E179035
|
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: Cooch Behar | Statement: [Cooch Behar Airport, serves, Cooch Behar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cooch Behar Context triple: [Cooch Behar Airport, serves, Cooch Behar]
-
A.
Cooch Behar
chosen
Cooch Behar is a historic town in northeastern India known for its royal palaces, planned layout, and cultural heritage as a former princely state.
-
B.
Jalpaiguri
Jalpaiguri is a town in northeastern India known as an important administrative and commercial center near the Himalayan foothills.
-
C.
Sikkim
Sikkim is a small, mountainous Indian state in the eastern Himalayas known for its dramatic landscapes, Buddhist monasteries, and proximity to Mount Kanchenjunga.
-
D.
Meghalaya
Meghalaya is a hilly state in northeastern India known for its heavy rainfall, lush forests, and diverse indigenous cultures.
-
E.
Tripura
Tripura is a small, hilly state in northeastern India known for its diverse tribal cultures, historical palaces, and dense forests.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add9036081908917ff27ceed1038 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70064bfa48190bbb5b4f92dde8dde |
completed | March 27, 2026, 10:10 p.m. |
Created at: March 27, 2026, 1:50 p.m.