Triple
T14310338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verwood |
E354810
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object |
VERWOOD
VERWOOD is a town in eastern Dorset, England, known for its proximity to the New Forest and its growth from a rural village into a commuter and market community.
|
E1091326
|
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: [Verwood, hasPostTown, VERWOOD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VERWOOD Context triple: [Verwood, hasPostTown, VERWOOD]
-
A.
Netheravon
Netheravon is a village in Wiltshire, England, known for its historic military airfield and location on the River Avon.
-
B.
Wilford
Wilford is a suburban area of Nottingham, England, situated south of the city centre by the River Trent.
-
C.
Wilford
Wilford is a masculine given name most notably associated with American actor Wilford Brimley.
-
D.
Vernon
Vernon is a town in northern France on the Seine River, known for its picturesque setting that attracted artists such as Pierre Bonnard.
-
E.
Vernon
Vernon is a masculine given name of English origin, historically used in various English-speaking countries.
- 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: [Verwood, hasPostTown, VERWOOD]
Generated description
VERWOOD is a town in eastern Dorset, England, known for its proximity to the New Forest and its growth from a rural village into a commuter and market community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VERWOOD Target entity description: VERWOOD is a town in eastern Dorset, England, known for its proximity to the New Forest and its growth from a rural village into a commuter and market community.
-
A.
Netheravon
Netheravon is a village in Wiltshire, England, known for its historic military airfield and location on the River Avon.
-
B.
Wilford
Wilford is a suburban area of Nottingham, England, situated south of the city centre by the River Trent.
-
C.
Wilford
Wilford is a masculine given name most notably associated with American actor Wilford Brimley.
-
D.
Vernon
Vernon is a town in northern France on the Seine River, known for its picturesque setting that attracted artists such as Pierre Bonnard.
-
E.
Vernon
Vernon is a Korean-American rapper and songwriter best known as a member of the K-pop boy group Seventeen.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b26da48190a96e2f60ace51335 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d3124488190b2ea35949294e297 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3ded77748190b35908e046ccce67 |
completed | May 8, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3e7425348190abf09c103cc17305 |
completed | May 8, 2026, 1:37 a.m. |
Created at: April 10, 2026, 1:12 a.m.