Triple
T3339013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorset |
E70212
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Verwood
Verwood is a small town in eastern Dorset, England, known for its rural character and proximity to the New Forest and Cranborne Chase.
|
E354810
|
NE FINISHED |
How this triple was built (4 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: Verwood | Statement: [Dorset, hasMajorTown, Verwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verwood Context triple: [Dorset, hasMajorTown, Verwood]
-
A.
Yeovilton
Yeovilton is a village in Somerset, England, best known for its Royal Naval Air Station and strong association with British naval aviation.
-
B.
Nailsea
Nailsea is a small town in North Somerset, England, historically known for its glassmaking and coal mining industries.
-
C.
Torquay
Torquay is a seaside resort town on the English Riviera in Devon, England, known for its mild climate, beaches, and Victorian-era tourism.
-
D.
Yeovil
Yeovil is a town in Somerset, England, known historically for its aircraft and defence industries and serving as a commercial and service hub for the surrounding rural area.
-
E.
Swanage
Swanage is a small coastal resort town on the Isle of Purbeck in southern England, known for its sandy beach, Victorian pier, and access to the Jurassic Coast.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Verwood Triple: [Dorset, hasMajorTown, Verwood]
Generated description
Verwood is a small town in eastern Dorset, England, known for its rural character and proximity to the New Forest and Cranborne Chase.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verwood Target entity description: Verwood is a small town in eastern Dorset, England, known for its rural character and proximity to the New Forest and Cranborne Chase.
-
A.
Yeovilton
Yeovilton is a village in Somerset, England, best known for its Royal Naval Air Station and strong association with British naval aviation.
-
B.
Nailsea
Nailsea is a small town in North Somerset, England, historically known for its glassmaking and coal mining industries.
-
C.
Torquay
Torquay is a seaside resort town on the English Riviera in Devon, England, known for its mild climate, beaches, and Victorian-era tourism.
-
D.
Yeovil
Yeovil is a town in Somerset, England, known historically for its aircraft and defence industries and serving as a commercial and service hub for the surrounding rural area.
-
E.
Swanage
Swanage is a small coastal resort town on the Isle of Purbeck in southern England, known for its sandy beach, Victorian pier, and access to the Jurassic Coast.
- F. None of above. chosen
Provenance (5 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bd6c7c8190b7229de1433d8d20 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bb819688190bb6198ac43f48449 |
completed | March 12, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69b34e44bd748190a9c6c67be6bcb9de |
completed | March 12, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b34ed57bf0819080fa0eb8e6875cb6 |
completed | March 12, 2026, 11:40 p.m. |
Created at: March 8, 2026, 3:12 p.m.