Triple
T19370946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 365 |
E484533
|
entity |
| Predicate | laterOperator |
P5677
|
FINISHED |
| Object | WAGN |
—
|
NE NERFINISHED |
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: WAGN | Statement: [British Rail Class 365, laterOperator, WAGN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WAGN Context triple: [British Rail Class 365, laterOperator, WAGN]
-
A.
WAGN
chosen
WAGN (West Anglia Great Northern) was a former British train operating company that ran commuter and regional passenger rail services from London to destinations in East Anglia and the north of London before the franchise was restructured.
-
B.
Wagner
Wagner is a common Portuguese given name, notably borne by Brazilian actor and filmmaker Wagner Moura.
-
C.
Wagner
Wagner is a Federal-Mogul automotive parts brand best known for its replacement brake components and lighting products.
-
D.
Wagner
Wagner is a surname most famously associated with Honus Wagner, one of the greatest early baseball players in Major League history.
-
E.
In Search of Wagner
In Search of Wagner is a critical study by Theodor W. Adorno that offers a penetrating philosophical and sociological analysis of Richard Wagner’s music, aesthetics, and cultural legacy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619b09ef08190a8b420316c0b8eb3 |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.