Triple
T21090067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borough of Broxtowe |
E519611
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Greasley |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Borough of Broxtowe, containsSettlement, Greasley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greasley Context triple: [Borough of Broxtowe, containsSettlement, Greasley]
-
A.
Greasley
chosen
Greasley is a village and civil parish in the Broxtowe district of Nottinghamshire, England.
-
B.
Shiregreen
Shiregreen is a residential suburb in the northern part of Sheffield, England, characterized by large housing estates and local community amenities.
-
C.
Gossops Green
Gossops Green is a residential neighbourhood and suburb within the town of Crawley in West Sussex, England.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094dd65481909391ed74115afc23 |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:50 p.m.