Triple
T23797719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buxa Wildlife Sanctuary |
E588581
|
entity |
| Predicate | accessByAir |
P54118
|
FINISHED |
| Object | Bagdogra Airport |
—
|
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: Bagdogra Airport | Statement: [Buxa Wildlife Sanctuary, accessByAir, Bagdogra Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessByAir Context triple: [Buxa Wildlife Sanctuary, accessByAir, Bagdogra Airport]
-
A.
airAccessFrom
chosen
Indicates that one location can be reached from another via air transportation or air routes.
-
B.
airportAccessMode
Indicates the typical mode or method of transportation used to access or reach an airport.
-
C.
airSupport
Indicates that one entity provides aerial assistance or backing to another, typically through aircraft-based protection, transport, or attack.
-
D.
hasRunwayAccessVia
Indicates that an entity has access to a runway by means of a specified connecting route, facility, or intermediary.
-
E.
airCapability
Indicates that an entity possesses the ability or resources to operate or project power in the air (e.g., through aircraft, air defenses, or related systems).
- F. None of above.
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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c6dea2888190b3ff1c96da5cfefb |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:50 p.m.