Triple
T14621151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalton-in-Furness |
E343223
|
entity |
| Predicate | localNewspaperArea |
P27949
|
FINISHED |
| Object | North West Evening Mail circulation area |
—
|
LITERAL 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: North West Evening Mail circulation area | Statement: [Dalton-in-Furness, localNewspaperArea, North West Evening Mail circulation area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localNewspaperArea Context triple: [Dalton-in-Furness, localNewspaperArea, North West Evening Mail circulation area]
-
A.
localNewspaper
chosen
Indicates that one entity is a newspaper that primarily serves the local area or community of the other entity.
-
B.
localGovernmentAreaOf
Indicates that one entity is the local government area within whose jurisdiction or administrative boundaries the other entity is located.
-
C.
regionOfCity
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
-
D.
regionHubFor
Indicates that one region functions as a central hub or primary coordinating center for another region or set of regions.
-
E.
localAuthorityArea
Indicates that one entity is a geographic or administrative area governed or managed by a specified local authority.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb466a61c81908a110d40fb959b6f |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.