Triple
T4048577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | See of York |
E84127
|
entity |
| Predicate | locatedIn |
P40
|
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: [See of York, locatedIn, City of York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of York Context triple: [See of York, locatedIn, 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.
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.
-
D.
City of Chester
The City of Chester is a historic walled city in northwest England renowned for its well-preserved Roman and medieval architecture, including distinctive black-and-white timbered buildings and ancient city walls.
-
E.
Newcastle upon Tyne
Newcastle upon Tyne is a major city in northeast England known for its industrial heritage, iconic Tyne Bridge, and vibrant cultural and nightlife scenes.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb82d1a08190aa8c5c48d368b58b |
completed | March 9, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55656ecbc819093f23636a7f72f36 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:37 p.m.