Triple
T26593628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Bazar |
E667427
|
entity |
| Predicate | hasRailwayConnectivityOn |
P95666
|
FINISHED |
| Object | Howrah–New Jalpaiguri line |
—
|
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: Howrah–New Jalpaiguri line | Statement: [English Bazar, hasRailwayConnectivityOn, Howrah–New Jalpaiguri line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRailwayConnectivityOn Context triple: [English Bazar, hasRailwayConnectivityOn, Howrah–New Jalpaiguri line]
-
A.
hasPassengerRailConnection
Indicates that there exists a passenger rail service linking one location or transport node to another.
-
B.
providesRailConnectionsWithin
Indicates that an entity offers or facilitates rail transport links connecting locations inside a specified area or region.
-
C.
railwayConnectsTo
Indicates that one railway line, track, or network is directly linked or joined to another, allowing trains to move between them.
-
D.
connectsToRailwayNetwork
chosen
Indicates that one entity is physically or functionally linked to a railway network, allowing access or transfer between them.
-
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_69ee9cfc385081909ac9ae178030a06e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 27, 2026, 2:09 a.m.