Triple
T13010210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boothferry |
E322388
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Selby district |
E855761
|
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: Selby district | Statement: [Boothferry, borderedBy, Selby district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selby district Context triple: [Boothferry, borderedBy, Selby district]
-
A.
Selby District
chosen
Selby District was a former local government district in North Yorkshire, England, centered on the market town of Selby and known for its mix of rural communities, historic sites, and transport links.
-
B.
Kirkley district
Kirkley district is a coastal residential and commercial area forming part of the town of Lowestoft in Suffolk, England.
-
C.
Stonehouse District
Stonehouse District is a magisterial district and residential community located in the northern part of James City County, Virginia.
-
D.
Langwasser district
Langwasser district is a residential and commercial borough in the southeast of Nuremberg, Germany, developed largely in the post-World War II era.
-
E.
Rother District
Rother District is a local government district in East Sussex, England, known for its historic towns such as Bexhill-on-Sea, Battle, and Rye, and its mix of coastal and rural landscapes.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9e14b88190a2cee8e0c9bf31c8 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c10bb13481909650432d5c1f5872 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:49 p.m.