Triple
T31034822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southall rail crash |
E790825
|
entity |
| Predicate | impactSpeed |
P13562
|
FINISHED |
| Object | about 80 mph |
—
|
LITERAL 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: about 80 mph | Statement: [Southall rail crash, impactSpeed, about 80 mph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactSpeed Context triple: [Southall rail crash, impactSpeed, about 80 mph]
-
A.
impactStatus
Indicates the current state or condition of how something has affected or influenced a target.
-
B.
impactOutcome
Indicates that one entity produces an effect or influence that changes the result, consequence, or final state of another entity or situation.
-
C.
speed
chosen
Indicates the rate at which an entity moves or changes position over time.
-
D.
impactOrigin
Indicates that one entity is the source or cause from which the impact or effect on another entity originates.
-
E.
impactBuilding
Indicates that one entity physically collides with or strikes a building, causing an impact event.
- 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_69f224c97a788190b5da1ead6038a74e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 29, 2026, 8:59 p.m.