Triple
T32054214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 Mumbai train bombings |
E818570
|
entity |
| Predicate | notableStationAffected |
P154579
|
FINISHED |
| Object | Bandra |
E269503
|
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: Bandra | Statement: [2006 Mumbai train bombings, notableStationAffected, Bandra]
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 (4 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2ed503b36c81908b28e6b3deff6a59 |
completed | June 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:21 a.m.