Triple
T20030304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shipton-on-Cherwell train crash |
E495103
|
entity |
| Predicate | carriagesInvolved |
P138438
|
FINISHED |
| Object | several |
—
|
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: several | Statement: [Shipton-on-Cherwell train crash, carriagesInvolved, several]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriagesInvolved Context triple: [Shipton-on-Cherwell train crash, carriagesInvolved, several]
-
A.
carriageType
Indicates the specific kind or category of carriage associated with or used in relation to an entity.
-
B.
railwayCarriageUsedFor
Indicates that a railway carriage is employed or designated for a particular purpose, function, or type of use.
-
C.
carriageIssues
Indicates that there are problems, malfunctions, or irregularities affecting the operation or condition of a carriage.
-
D.
carriageMaterial
Indicates the material from which a carriage or its main structural components are made.
-
E.
railCarries
Indicates that a rail or railway system transports or conveys a specified entity from one place to another.
- F. None of above. chosen
Provenance (4 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66291a00c8190b0b895909f32d623 |
completed | April 20, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:36 p.m.