Triple
T32054214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 Mumbai train bombings |
E818570
|
entity |
| Predicate | notableStationAffected |
—
|
GENERATED |
| Object | Bandra |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableStationAffected Context triple: [2006 Mumbai train bombings, notableStationAffected, Bandra]
-
A.
trainStationAffected
chosen
Indicates that a train station is impacted or influenced by a particular event, condition, or action.
-
B.
causedTransportDisruption
Indicates that one entity was the cause of a disruption or interruption to the normal operation of a transport system or service.
-
C.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
-
D.
hasNotableStation
Indicates that an entity possesses or is associated with a station that is considered notable or significant in some context.
-
E.
cityTransportOperatorAffected
Indicates that a city transport operator is impacted or influenced by a particular event, condition, or circumstance.
- F. None of above.
Provenance (1 batch)
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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:21 a.m.