Triple
T34381344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Breton County |
E882443
|
entity |
| Predicate | geographicCodeType |
P116678
|
FINISHED |
| Object | county (Nova Scotia land division) |
—
|
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: county (Nova Scotia land division) | Statement: [Cape Breton County, geographicCodeType, county (Nova Scotia land division)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicCodeType Context triple: [Cape Breton County, geographicCodeType, county (Nova Scotia land division)]
-
A.
isGeographicCode
Indicates that one entity functions as a geographic code that identifies or represents the location of another entity.
-
B.
regionCodeType
Indicates the classification or format type used for a given region code within a coding or identification system.
-
C.
geographicCoverageType
Indicates the type or nature of the geographic area that something covers or applies to.
-
D.
hasGeographicType
chosen
Indicates that an entity is associated with or classified by a specific type or category of geographic feature or area.
-
E.
geographicalRegionType
Indicates the specific kind or category of geographical region that an entity belongs to (e.g., continent, country, province, or city).
- 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 1, 2026, 1:59 a.m.