Triple
T8726175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thirsk |
E207136
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Hambleton district |
E133344
|
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: Hambleton district | Statement: [Thirsk, isPartOf, Hambleton district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hambleton district Context triple: [Thirsk, isPartOf, Hambleton district]
-
A.
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.
-
B.
Hambleton
chosen
Hambleton is a largely rural district in North Yorkshire, England, known for its market towns and agricultural landscape.
-
C.
Hambleton District Council
Hambleton District Council was the local government authority responsible for providing municipal services and administration in the Hambleton district of North Yorkshire, England.
-
D.
Gunton district
Gunton district is a residential and coastal area forming part of the town of Lowestoft in Suffolk, England.
-
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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d158b0481908249610458f97306 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf2912c4e08190a147fc31db6788d1 |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:36 p.m.