Triple
T29508695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aycliffe Business Park |
E748588
|
entity |
| Predicate | isMajorEmploymentAreaFor |
P101825
|
FINISHED |
| Object | County Durham |
—
|
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: County Durham | Statement: [Aycliffe Business Park, isMajorEmploymentAreaFor, County Durham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorEmploymentAreaFor Context triple: [Aycliffe Business Park, isMajorEmploymentAreaFor, County Durham]
-
A.
isMajorEconomicAreaFor
Indicates that a location or region serves as a primary center of significant economic activity for a specified entity or sector.
-
B.
includesMajorMetropolitanArea
Indicates that one entity geographically contains or encompasses a major metropolitan area within its boundaries.
-
C.
hasMajorCityArea
Indicates that a place or region includes, is associated with, or is served by a major metropolitan city area.
-
D.
laborMarketAreaFor
chosen
Indicates that one region or location functions as the labor market area associated with another specified place or entity.
-
E.
isMajorEmployerLocationIn
Indicates that a location is a primary or significant site where an employer conducts its employment activities or has a major workforce presence.
- 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_69f0bd455a9c8190b40a3e8ea38cf61f |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 28, 2026, 4:30 p.m.