Triple
T36031465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angle Vale |
E1042270
|
entity |
| Predicate | surroundingAreaCharacter |
P85695
|
FINISHED |
| Object | rural and agricultural |
—
|
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 and agricultural | Statement: [Angle Vale, surroundingAreaCharacter, rural and agricultural]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surroundingAreaCharacter Context triple: [Angle Vale, surroundingAreaCharacter, rural and agricultural]
-
A.
surroundingCharacter
Indicates that one character is located around or encircling another character or element in the context of a layout or structure.
-
B.
nearbyRegionCharacterizedBy
chosen
Indicates that a region located nearby another entity is defined or distinguished by a particular characteristic, feature, or condition.
-
C.
surroundedAreaColloquialName
Indicates that an area is commonly referred to by a particular informal or colloquial name by people in the surrounding region.
-
D.
neighborCharacter
Indicates that one character is located adjacent to or next to another character in a given context.
-
E.
regionCharacter
Indicates a characteristic, feature, or quality that typifies or defines a particular region.
- 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_69f76e2c568881909e1e21f85252b0f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ad177a5081908793d30c24b68af5 |
completed | May 3, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.