Triple
T16470871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Class 5MT |
E400054
|
entity |
| Predicate | successorClassification |
P10131
|
FINISHED |
| Object | diesel and electric multiple unit classifications on BR |
—
|
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: diesel and electric multiple unit classifications on BR | Statement: [Class 5MT, successorClassification, diesel and electric multiple unit classifications on BR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorClassification Context triple: [Class 5MT, successorClassification, diesel and electric multiple unit classifications on BR]
-
A.
successorCategory
Indicates that one category directly follows or replaces another in an ordered sequence or hierarchy.
-
B.
successorType
Indicates the specific kind or category of successor relationship that holds between one entity and the next in a sequence or hierarchy.
-
C.
successorClass
chosen
Indicates that one class directly follows or replaces another class in a sequence or hierarchy.
-
D.
successorConcept
Indicates that one concept directly follows and replaces another in a sequence, versioning, or conceptual progression.
-
E.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd0d2fc81909b68b5afb00f192f |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:11 a.m.