Triple
T30440371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soham rail disaster |
E774423
|
entity |
| Predicate | numberOfWagons |
P42282
|
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: [Soham rail disaster, numberOfWagons, 51]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWagons Context triple: [Soham rail disaster, numberOfWagons, 51]
-
A.
vehiclesPerTrain
chosen
Indicates the number of vehicles that are attached to or make up a single train.
-
B.
railCarries
Indicates that a rail or railway system transports or conveys a specified entity from one place to another.
-
C.
capturedWagons
Indicates that one party has taken possession or control of another party’s wagons, typically as a result of conflict, seizure, or interception.
-
D.
numberOfPowerCars
Indicates the relationship specifying how many power cars (self-propelled units) are associated with or contained in a given train or rail consist.
-
E.
unionWagonsLostApprox
Indicates that an approximate number of wagons belonging to a union has been lost.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00776c4ebc8190899005fda34234d5 |
completed | May 10, 2026, 12:17 p.m. |
| PD | Predicate disambiguation | batch_6a0076f8a4c4819093ed577e67aa38f9 |
completed | May 10, 2026, 12:15 p.m. |
Created at: April 29, 2026, 8:08 p.m.