Triple
T20934853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broxtowe |
E515556
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Greasley
Greasley is a village and civil parish in the Broxtowe district of Nottinghamshire, England.
|
E1457578
|
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: Greasley | Statement: [Broxtowe, containsSettlement, Greasley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greasley Context triple: [Broxtowe, containsSettlement, Greasley]
-
A.
Shiregreen
Shiregreen is a residential suburb in the northern part of Sheffield, England, characterized by large housing estates and local community amenities.
-
B.
Gossops Green
Gossops Green is a residential neighbourhood and suburb within the town of Crawley in West Sussex, England.
-
C.
Skelton Green
Skelton Green is a small village in North Yorkshire, England, situated near the North Sea coast and historically associated with the Teesside area.
-
D.
Kearsley
Kearsley is a small town in the Hunter Region of New South Wales, Australia, known historically for its coal mining and rural community character.
-
E.
Kearsley
Kearsley is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
- 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: Greasley Triple: [Broxtowe, containsSettlement, Greasley]
Generated description
Greasley is a village and civil parish in the Broxtowe district of Nottinghamshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greasley Target entity description: Greasley is a village and civil parish in the Broxtowe district of Nottinghamshire, England.
-
A.
Shiregreen
Shiregreen is a residential suburb in the northern part of Sheffield, England, characterized by large housing estates and local community amenities.
-
B.
Gossops Green
Gossops Green is a residential neighbourhood and suburb within the town of Crawley in West Sussex, England.
-
C.
Skelton Green
Skelton Green is a small village in North Yorkshire, England, situated near the North Sea coast and historically associated with the Teesside area.
-
D.
Kearsley
Kearsley is a small town in the Hunter Region of New South Wales, Australia, known historically for its coal mining and rural community character.
-
E.
Kearsley
Kearsley is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f950d5e081908ec0df4824cf69f7 |
completed | April 21, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091fd28890819091e20c282b0811ae |
completed | May 17, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a09204848848190acdd189dc88990ed |
completed | May 17, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0920c819a08190b040bb9e89309eb9 |
completed | May 17, 2026, 1:58 a.m. |
Created at: April 16, 2026, 12:49 p.m.