Triple
T28453362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Once railway station |
E716638
|
entity |
| Predicate | 2012CrashDeaths |
P1785
|
FINISHED |
| Object | 51 |
—
|
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: 51 | Statement: [Once railway station, 2012CrashDeaths, 51]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 2012CrashDeaths Context triple: [Once railway station, 2012CrashDeaths, 51]
-
A.
notableDeathTollEvent
Indicates that an event is characterized by causing an unusually large or historically significant number of deaths.
-
B.
causedFatalities
Indicates that the referenced event or action directly resulted in one or more deaths.
-
C.
deathToll
chosen
Indicates the number of deaths resulting from a particular event, situation, or cause.
-
D.
causeOfDeath
Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
-
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_69efd6b76f8c8190a7ba908aca280942 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64e73b2408190a7e35048af465d57 |
completed | May 2, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 1:53 a.m.