Triple
T30131083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abingdon Rural District |
E765846
|
entity |
| Predicate | borderedUrbanDistrict |
P107921
|
FINISHED |
| Object | Abingdon Municipal 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: Abingdon Municipal Borough | Statement: [Abingdon Rural District, borderedUrbanDistrict, Abingdon Municipal Borough]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderedUrbanDistrict Context triple: [Abingdon Rural District, borderedUrbanDistrict, Abingdon Municipal Borough]
-
A.
isBorderDistrict
Indicates that a district is located along and directly borders the boundary of a larger administrative region or country.
-
B.
borderIncludesUrbanAreaPair
Indicates that a border region encompasses or connects a specific pair of urban areas.
-
C.
borderingLocalGovernmentArea
chosen
Indicates that one local government area shares a common boundary with another local government area.
-
D.
isUrbanBoundaryFor
Indicates that something serves as the defined outer limit or edge that separates an urban area from surrounding non-urban or differently zoned areas.
-
E.
hasArrondissementBoundary
Indicates that one arrondissement’s boundary is shared with, or directly borders, another arrondissement.
- 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_69f22477d1a081908df2b7e6ed16859d |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
Created at: April 29, 2026, 7:15 p.m.