Triple
T10142639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Lieutenant of North Yorkshire |
E231622
|
entity |
| Predicate | jurisdictionIncludes |
P808
|
FINISHED |
| Object | City of York |
E85642
|
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: City of York | Statement: [Lord Lieutenant of North Yorkshire, jurisdictionIncludes, City of York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of York Context triple: [Lord Lieutenant of North Yorkshire, jurisdictionIncludes, City of York]
-
A.
City of York
chosen
The City of York is a historic cathedral city in North Yorkshire, England, renowned for its medieval walls, Gothic York Minster, and well-preserved old town.
-
B.
Ripon
Ripon is a small city in California’s Central Valley known for its agricultural roots and tight-knit community.
-
C.
Ripon
Ripon is a historic cathedral city in North Yorkshire, England, known for Ripon Cathedral and its traditional hornblower ceremony.
-
D.
Town of York
The Town of York is a small rural municipality in Livingston County in western New York State, known for its agricultural landscape and historic villages.
-
E.
Leeds
Leeds is a major city in West Yorkshire, England, known as a key commercial, cultural, and educational center in the north of the country.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb273fec8190818707167e031d58 |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e60e51488190a6097837eb3ce18a |
completed | April 5, 2026, 10:45 p.m. |
Created at: March 30, 2026, 9:07 p.m.