Triple
T6836804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 150 |
E157470
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | BREL York |
E614013
|
NE 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: BREL York | Statement: [British Rail Class 150, manufacturer, BREL York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BREL York Context triple: [British Rail Class 150, 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.
Fairlight
Fairlight is a coastal village in East Sussex, England, known for its scenic cliffs, countryside, and proximity to Hastings.
-
D.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
E.
Yorke
Yorke is an English surname historically associated with prominent figures in law, politics, and public life in Britain.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d67c1c508190ab39b8aaaaacc628 |
completed | March 27, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723ffce448190ac8edbaaa1517972 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:19 p.m.