Triple
T31034820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southall rail crash |
E790825
|
entity |
| Predicate | seriousInjuries |
P25887
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [Southall rail crash, seriousInjuries, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriousInjuries Context triple: [Southall rail crash, seriousInjuries, 11]
-
A.
majorInjuryTrack
Indicates that an entity has sustained a significant or severe injury that is being recorded or monitored over time.
-
B.
fatalInjury
Indicates that an entity causes or sustains an injury that directly results in death.
-
C.
injuriesApprox
chosen
Indicates an approximate or estimated number or extent of injuries associated with an event or entity.
-
D.
injuryType
Indicates the specific kind or category of injury associated with an entity or event.
-
E.
accidentSeverity
Indicates the level or degree of seriousness associated with an accident.
- 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_69f694f4f6e881908e00ff63a092f717 |
completed | May 3, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
Created at: April 29, 2026, 8:59 p.m.