Triple
T21414696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 385 |
E528268
|
entity |
| Predicate | cabDesignIssueResolved |
P70881
|
FINISHED |
| Object | windscreen design was modified before full entry into service |
—
|
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: windscreen design was modified before full entry into service | Statement: [British Rail Class 385, cabDesignIssueResolved, windscreen design was modified before full entry into service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cabDesignIssueResolved Context triple: [British Rail Class 385, cabDesignIssueResolved, windscreen design was modified before full entry into service]
-
A.
designIssue
Indicates that there is a problem, flaw, or concern related to the design of an entity or system.
-
B.
designCheck
Indicates that an entity performs a review or verification of a design to ensure it meets specified requirements or standards.
-
C.
addressesIssue
Indicates that one entity deals with, responds to, or attempts to resolve a specific issue associated with another entity.
-
D.
hasDesignChange
chosen
Indicates that an entity has undergone a modification or alteration to its original design.
-
E.
facingIssue
Indicates that an entity is currently experiencing, encountering, or dealing with a problem, difficulty, or obstacle.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2032fe48190907b282e2fffa2bd |
completed | April 22, 2026, 11:33 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:45 p.m.