Triple
T9102969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liddell family |
E218402
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | County Durham |
E40394
|
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: County Durham | Statement: [Liddell family, region, County Durham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: County Durham Context triple: [Liddell family, region, County Durham]
-
A.
County Durham
chosen
County Durham is a historic county in North East England known for its cathedral city of Durham, rich industrial heritage, and scenic dales.
-
B.
North West Durham
North West Durham is a UK parliamentary constituency in County Durham, England, represented in the House of Commons.
-
C.
North Yorkshire
North Yorkshire is a large ceremonial county in northern England known for its expansive rural landscapes, including much of the Yorkshire Dales and North York Moors National Parks.
-
D.
Northumberland
Northumberland is a historic and largely rural county in northeast England, known for its rugged coastline, medieval castles, and significant Roman heritage.
-
E.
Northumberland
Northumberland is a small rural town in Saratoga County, New York, known for its agricultural character and proximity to the Hudson River.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9715d5188190bce68d095e10c2eb |
completed | April 1, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0183677cc8190b3140278f4c6de9c |
completed | April 3, 2026, 7:42 p.m. |
Created at: March 30, 2026, 7:15 p.m.