Triple
T23797717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buxa Wildlife Sanctuary |
E588581
|
entity |
| Predicate | accessByRail |
P57688
|
FINISHED |
| Object | Alipurduar Junction |
—
|
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: Alipurduar Junction | Statement: [Buxa Wildlife Sanctuary, accessByRail, Alipurduar Junction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessByRail Context triple: [Buxa Wildlife Sanctuary, accessByRail, Alipurduar Junction]
-
A.
railwayAccess
chosen
Indicates that an entity has direct access to, connection with, or service by a railway line or station.
-
B.
railAccessModel
Indicates the type or pattern of how rail infrastructure or services are accessed or connected between locations or entities.
-
C.
accessibleFromStation
Indicates that a location or facility can be reached directly or conveniently starting from a given station.
-
D.
accessByBusFrom
Indicates that one location can be reached from another location using a bus as the mode of transportation.
-
E.
connectsToRailStation
Indicates that one entity has a direct link, route, or access connection to a rail station.
- 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.