Triple
T15519361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spout Green, Edwardstone |
E368915
|
entity |
| Predicate | isInSuffolkCountryside |
P2460
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Spout Green, Edwardstone, isInSuffolkCountryside, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInSuffolkCountryside Context triple: [Spout Green, Edwardstone, isInSuffolkCountryside, true]
-
A.
hasRuralParish
Indicates that an entity possesses or is associated with a rural parish as an administrative or ecclesiastical subdivision.
-
B.
isInSuffolkCoastalPlain
Indicates that one entity is geographically located within the Suffolk Coastal Plain region.
-
C.
isInRuralAreaOf
Indicates that one entity is located within the rural area or countryside region associated with another entity.
-
D.
isRuralConstituency
Indicates that a given constituency is classified as rural rather than urban or suburban.
-
E.
isRural
chosen
Indicates that something is located in, characteristic of, or associated with a countryside or non-urban 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_69e040343d9c8190a7d1f197c108bd9d |
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, 4:04 a.m.