Triple
T32663691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammerwood |
E835097
|
entity |
| Predicate | countrysideSetting |
P85002
|
FINISHED |
| Object | rural |
—
|
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 | Statement: [Hammerwood, countrysideSetting, rural]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countrysideSetting Context triple: [Hammerwood, countrysideSetting, rural]
-
A.
isScenicCountryside
Indicates that a location or area is characterized by visually pleasing, rural landscape features typically associated with the countryside.
-
B.
usesPastoralSetting
Indicates that the action or work is set in an idealized rural or countryside environment characteristic of pastoral themes.
-
C.
hasRuralLandscapeType
chosen
Indicates that an entity is associated with or characterized by a specific type of rural landscape.
-
D.
hasRuralLifestyle
Indicates that an entity lives in or regularly engages in a way of life characteristic of rural areas, such as farming, low population density, and countryside-oriented activities.
-
E.
semiRuralCharacter
Indicates that a place or area has characteristics intermediate between rural and urban, combining elements of both environments.
- 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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a00694f72888190983fee7d687a6daa |
completed | May 10, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_6a00685dbf44819098ea0c86bb9e50d8 |
completed | May 10, 2026, 11:13 a.m. |
Created at: May 1, 2026, 1:08 a.m.