Triple
T35604552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northdown |
E1028848
|
entity |
| Predicate | hasRuralClassification |
P68848
|
FINISHED |
| Object | rural locality |
—
|
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: rural locality | Statement: [Northdown, hasRuralClassification, rural locality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRuralClassification Context triple: [Northdown, hasRuralClassification, rural locality]
-
A.
isRural
Indicates that something is located in, characteristic of, or associated with a countryside or non-urban area.
-
B.
hasRuralArea
Indicates that an entity includes, is associated with, or contains a countryside or sparsely populated geographic area.
-
C.
isInRuralAreaOf
Indicates that one entity is located within the rural area or countryside region associated with another entity.
-
D.
hasRuralSection
Indicates that an entity includes, contains, or is associated with a portion or segment located in a rural area.
-
E.
isRuralRegion
chosen
Indicates that a region is classified as rural, typically characterized by low population density and limited urban development.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:05 p.m.