Triple
T30269695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berwyn, Denbighshire, Wales |
E769753
|
entity |
| Predicate | hasNearbyAdministrativeArea |
P180481
|
FINISHED |
| Object | Wrexham County Borough |
—
|
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: Wrexham County Borough | Statement: [Berwyn, Denbighshire, Wales, hasNearbyAdministrativeArea, Wrexham County Borough]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyAdministrativeArea Context triple: [Berwyn, Denbighshire, Wales, hasNearbyAdministrativeArea, Wrexham County Borough]
-
A.
hasNearbyGeographicalArea
Indicates that one geographical area is located in close spatial proximity to another geographical area.
-
B.
hasNearbyCityArea
Indicates that one area is geographically close to or adjacent to a city area.
-
C.
hasAdministrativeArea
Indicates that one entity serves as the governing or jurisdictional area responsible for administering another entity.
-
D.
hasNearbyJurisdiction
chosen
Indicates that one jurisdiction is geographically close to or adjacent to another jurisdiction.
-
E.
hasNearbyProvince
Indicates that one province is geographically close to or directly adjacent to another province.
- F. None of above.
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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
Created at: April 29, 2026, 7:43 p.m.