Triple
T3089789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk |
E64456
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Benhall Green
Benhall Green is a small rural village located within the county of Suffolk in eastern England.
|
E324554
|
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: Benhall Green | Statement: [Suffolk, containsSettlement, Benhall Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benhall Green Context triple: [Suffolk, containsSettlement, Benhall Green]
-
A.
Hough Green
Hough Green is a suburban area in Widnes, Cheshire, England, served by its own railway station and characterized by residential neighborhoods and local amenities.
-
B.
Hurst Green
Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
-
C.
Richmond Green
Richmond Green is a historic open space and recreational common in Richmond, London, known for its picturesque setting, cricket matches, and surrounding period architecture.
-
D.
Cox Green
Cox Green is a residential suburb and civil parish on the outskirts of Maidenhead in Berkshire, England.
-
E.
Arnos Grove
Arnos Grove is a London Underground station in North London, notable for its distinctive modernist architecture and role as a key stop on the Piccadilly line.
- 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: Benhall Green Triple: [Suffolk, containsSettlement, Benhall Green]
Generated description
Benhall Green is a small rural village located within the county of Suffolk in eastern England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benhall Green Target entity description: Benhall Green is a small rural village located within the county of Suffolk in eastern England.
-
A.
Hough Green
Hough Green is a suburban area in Widnes, Cheshire, England, served by its own railway station and characterized by residential neighborhoods and local amenities.
-
B.
Hurst Green
Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
-
C.
Richmond Green
Richmond Green is a historic open space and recreational common in Richmond, London, known for its picturesque setting, cricket matches, and surrounding period architecture.
-
D.
Cox Green
Cox Green is a residential suburb and civil parish on the outskirts of Maidenhead in Berkshire, England.
-
E.
Arnos Grove
Arnos Grove is a London Underground station in North London, notable for its distinctive modernist architecture and role as a key stop on the Piccadilly line.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20d8f788190b05b8b6b5042bc1a |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f8a4c1f08190a80efd190e4ed07f |
completed | March 11, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_69b1f9617d2c8190884de2cd1d5fa88b |
completed | March 11, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f9da6ffc81909f84c2b9ac9e7f68 |
completed | March 11, 2026, 11:25 p.m. |
Created at: March 8, 2026, 3:03 p.m.