Triple
T6720019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 165 |
E153370
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object |
BREL York
BREL York was a major British railway engineering works in York that built and maintained rolling stock for the national rail network.
|
E614013
|
NE FINISHED |
How this triple was built (4 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 165, manufacturer, BREL York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BREL York Context triple: [British Rail Class 165, manufacturer, BREL York]
-
A.
BREL Derby
BREL Derby was a major British railway engineering works in Derby that built and maintained rolling stock for the UK rail network.
-
B.
Fairlight
Fairlight is a coastal village in East Sussex, England, known for its scenic cliffs, countryside, and proximity to Hastings.
-
C.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
D.
Yorke
Yorke is an English surname historically associated with prominent figures in law, politics, and public life in Britain.
-
E.
De Peel
De Peel is a peat bog and nature reserve region in the southeastern Netherlands, known for its wetlands, heathlands, and rich biodiversity.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BREL York Triple: [British Rail Class 165, manufacturer, BREL York]
Generated description
BREL York was a major British railway engineering works in York that built and maintained rolling stock for the national rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BREL York Target entity description: BREL York was a major British railway engineering works in York that built and maintained rolling stock for the national rail network.
-
A.
BREL Derby
BREL Derby was a major British railway engineering works in Derby that built and maintained rolling stock for the UK rail network.
-
B.
Fairlight
Fairlight is a coastal village in East Sussex, England, known for its scenic cliffs, countryside, and proximity to Hastings.
-
C.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
D.
Yorke
Yorke is an English surname historically associated with prominent figures in law, politics, and public life in Britain.
-
E.
De Peel
De Peel is a peat bog and nature reserve region in the southeastern Netherlands, known for its wetlands, heathlands, and rich biodiversity.
- F. None of above. chosen
Provenance (5 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d137084881908e04ee6b2bd45585 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7009f1e208190891c4542a6c613ac |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c7048843e081908b70942a91a390fe |
completed | March 27, 2026, 10:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c705240f54819094e8715ffd66b352 |
completed | March 27, 2026, 10:31 p.m. |
Created at: March 27, 2026, 2:07 p.m.