Triple
T14700156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costessey |
E345273
|
entity |
| Predicate | hasLocalGovernmentDistrict |
P962
|
FINISHED |
| Object | Broadland |
E628591
|
NE FINISHED |
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: Broadland | Statement: [Costessey, hasLocalGovernmentDistrict, Broadland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broadland Context triple: [Costessey, hasLocalGovernmentDistrict, Broadland]
-
A.
Broadland
chosen
Broadland is a local government district and rural area in Norfolk, England, known for encompassing part of the Norfolk Broads and several villages and small towns.
-
B.
Downlands
Downlands is a residential suburb within the coastal city of Burnie in north-west Tasmania, Australia.
-
C.
The Fens
The Fens is a historic urban park and restored wetland in Boston, Massachusetts, designed by Frederick Law Olmsted as part of a larger interconnected greenway.
-
D.
Egdon Heath
Egdon Heath is an orchestral tone poem by Gustav Holst, inspired by Thomas Hardy’s fictional Wessex landscape and noted for its austere, atmospheric character.
-
E.
Broadlands
Broadlands is a planned residential community in Loudoun County, Virginia, known for its family-friendly neighborhoods, schools, and proximity to technology corridors in the Washington, D.C. metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb605f5948190ab6b20887c4b6833 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde191ef6081908434db8d89ad38cb |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.