Triple
T36885771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colwich Junction |
E911604
|
entity |
| Predicate | railCrashCasualties |
P168682
|
FINISHED |
| Object | 1 fatality |
—
|
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: 1 fatality | Statement: [Colwich Junction, railCrashCasualties, 1 fatality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railCrashCasualties Context triple: [Colwich Junction, railCrashCasualties, 1 fatality]
-
A.
railDisasterCasualties
chosen
Indicates the number of people killed or injured as a result of a specific rail disaster.
-
B.
additionalDeathsRelatedToAccident
Indicates that there were extra fatalities occurring as a consequence of the accident beyond any initially recorded or primary deaths.
-
C.
primaryCasualtiesFrom
Indicates that an entity is the main source or cause of the casualties experienced by another entity.
-
D.
railDisasterCargo
Indicates a rail transport accident or disaster specifically involving cargo or freight.
-
E.
numberOfFatalAccidents
Indicates the total count of accidents within a given context that resulted in at least one fatality.
- 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:13 p.m.