Triple
T30430670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whalley Range High School |
E774153
|
entity |
| Predicate | urbanRural |
P60791
|
FINISHED |
| Object | urban |
—
|
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: urban | Statement: [Whalley Range High School, urbanRural, urban]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanRural Context triple: [Whalley Range High School, urbanRural, urban]
-
A.
urbanRuralRelation
Indicates a relationship that characterizes how urban and rural areas are connected, contrasted, or interact with each other.
-
B.
urbanRuralSplit
Indicates a division or distinction between urban and rural areas, conditions, or populations.
-
C.
isRuralOrUrban
chosen
Indicates whether an entity is classified as being in a rural area or an urban area.
-
D.
isUrbanizing
Indicates a process in which an area or population becomes more urban in character, typically through increased development, infrastructure, and concentration of people and activities.
-
E.
isRuralCity
Indicates that a city is characterized by rural features or is located within a predominantly rural 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_69f22492d2a88190995ce8745d9becaa |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 29, 2026, 8:06 p.m.