Triple
T15721269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Riding of Yorkshire |
E381097
|
entity |
| Predicate | historicRegionType |
P63456
|
FINISHED |
| Object | rural and coastal region |
—
|
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 coastal region | Statement: [North Riding of Yorkshire, historicRegionType, rural and coastal region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicRegionType Context triple: [North Riding of Yorkshire, historicRegionType, rural and coastal region]
-
A.
historicalRegion
Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
-
B.
historicalRegionCode
Indicates that an entity is associated with a specific code identifying a historical region.
-
C.
historicalTerritoryType
chosen
Indicates that a territory is classified according to a specific type or category it held during a historical period.
-
D.
historicalRegionAssociation
Indicates an association where an entity is or was located in, part of, or otherwise related to a specific historical region.
-
E.
historicalAdministrativeRegionName
Indicates the name assigned to an administrative region as it existed during a specific historical period.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb0b51081908e652ec4992296fa |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.