Triple
T21804420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark 4 coaching stock |
E538313
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | BREL York |
—
|
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: BREL York | Statement: [Mark 4 coaching stock, manufacturer, BREL York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BREL York Context triple: [Mark 4 coaching stock, manufacturer, BREL York]
-
A.
BREL York
chosen
BREL York was a major British railway engineering works in York that built and maintained rolling stock for the national rail network.
-
B.
BREL Derby
BREL Derby was a major British railway engineering works in Derby that built and maintained rolling stock for the UK rail network.
-
C.
Ayre
Ayre is a musical project or work associated with the duo Ayre and Michael, likely reflecting their collaborative artistic style.
-
D.
Corby-Tuech
Corby-Tuech is the hyphenated surname of British-French actress Poppy Corby-Tuech, known for her roles in film and television.
-
E.
Fairlight
Fairlight is a coastal village in East Sussex, England, known for its scenic cliffs, countryside, and proximity to Hastings.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07801fa8081909098d00947bf8f7f |
completed | April 28, 2026, 9:04 a.m. |
Created at: April 16, 2026, 6:53 p.m.