Triple
T22592938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anstey |
E564995
|
entity |
| Predicate | isNear |
P350
|
FINISHED |
| Object |
Beaumont Leys
Beaumont Leys is a suburban area and large housing estate on the northwestern edge of Leicester, England, known for its residential neighborhoods and retail and industrial developments.
|
E1544722
|
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: Beaumont Leys | Statement: [Anstey, isNear, Beaumont Leys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beaumont Leys Context triple: [Anstey, isNear, Beaumont Leys]
-
A.
Adcote
Adcote is a Victorian country house in Shropshire, England, designed in the late 19th century by architect Richard Norman Shaw in a distinctive Tudor Revival style.
-
B.
Bryanston
Bryanston is an affluent residential and commercial suburb located within the Sandton area of Johannesburg, South Africa.
-
C.
Harrow
Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
-
D.
Harrow
Harrow is the surname of Canadian rapper, record producer, and music executive Kardinal Offishall.
-
E.
Harrow Green
Harrow Green is a locality in the Leytonstone area of East London, known for its junction and surrounding residential and commercial streets.
- 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: Beaumont Leys Triple: [Anstey, isNear, Beaumont Leys]
Generated description
Beaumont Leys is a suburban area and large housing estate on the northwestern edge of Leicester, England, known for its residential neighborhoods and retail and industrial developments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beaumont Leys Target entity description: Beaumont Leys is a suburban area and large housing estate on the northwestern edge of Leicester, England, known for its residential neighborhoods and retail and industrial developments.
-
A.
Adcote
Adcote is a Victorian country house in Shropshire, England, designed in the late 19th century by architect Richard Norman Shaw in a distinctive Tudor Revival style.
-
B.
Bryanston
Bryanston is an affluent residential and commercial suburb located within the Sandton area of Johannesburg, South Africa.
-
C.
Harrow
Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
-
D.
Harrow
Harrow is the surname of Canadian rapper, record producer, and music executive Kardinal Offishall.
-
E.
Harrow Green
Harrow Green is a locality in the Leytonstone area of East London, known for its junction and surrounding residential and commercial streets.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f16163cb248190b377b110d80a6730 |
completed | April 29, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b3d5e31308190a11bff9270795efd |
completed | May 18, 2026, 4:25 p.m. |
| NEDg | Description generation | batch_6a0b3e908a308190af37f63904f38915 |
completed | May 18, 2026, 4:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b3f8d85cc8190812924d466d18735 |
completed | May 18, 2026, 4:34 p.m. |
Created at: April 17, 2026, 2:49 p.m.