Triple
T15511713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fair Oak and Horton Heath |
E368724
|
entity |
| Predicate | semiUrbanRuralCharacter |
P75009
|
FINISHED |
| Object | semi-rural community |
—
|
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: semi-rural community | Statement: [Fair Oak and Horton Heath, semiUrbanRuralCharacter, semi-rural community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: semiUrbanRuralCharacter Context triple: [Fair Oak and Horton Heath, semiUrbanRuralCharacter, semi-rural community]
-
A.
semiRuralCharacter
chosen
Indicates that a place or area has characteristics intermediate between rural and urban, combining elements of both environments.
-
B.
isRuralOrUrban
Indicates whether an entity is classified as being in a rural area or an urban area.
-
C.
urbanRuralSplit
Indicates a division or distinction between urban and rural areas, conditions, or populations.
-
D.
isRural
Indicates that something is located in, characteristic of, or associated with a countryside or non-urban area.
-
E.
isSuburbanRuralFringeOf
Indicates that one area lies on the outer edge or transition zone between a suburban region and the surrounding rural countryside of another area.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04030c0208190a1931ea130075603 |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:56 a.m.