Triple
T31034838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southall rail crash |
E790825
|
entity |
| Predicate | passengerTrainDestination |
P178828
|
FINISHED |
| Object | London Paddington |
—
|
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: London Paddington | Statement: [Southall rail crash, passengerTrainDestination, London Paddington]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passengerTrainDestination Context triple: [Southall rail crash, passengerTrainDestination, London Paddington]
-
A.
railwayUpperTerminus
Indicates that a railway line or route reaches its upper (typically higher-altitude or upstream) terminal endpoint at the related location.
-
B.
railTerminusFor
Indicates that one location serves as the final or terminal rail station or endpoint for a specified rail line or service.
-
C.
railwayStationFor
Indicates a relationship where a railway station serves, is designated for, or primarily associated with a particular place, line, or service.
-
D.
hasTramDestination
Indicates that a tram route or service goes to or terminates at a specified destination.
-
E.
railroadTerminusFor
Indicates that one location serves as the end point or final station of a particular railroad line for another location.
- F. None of above. chosen
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_69f224c97a788190b5da1ead6038a74e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: April 29, 2026, 8:59 p.m.