Triple
T37027519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vadsø |
E916396
|
entity |
| Predicate | formerCountyCapitalOf |
P3417
|
FINISHED |
| Object | Finnmark county |
—
|
NE NERFINISHED |
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: Finnmark county | Statement: [Vadsø, formerCountyCapitalOf, Finnmark county]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerCountyCapitalOf Context triple: [Vadsø, formerCountyCapitalOf, Finnmark county]
-
A.
formerStateCapitalLocatedInCountySeat
Indicates that a city which once served as a state capital is located in a county that is also the seat of county government.
-
B.
hasCountyCapitalRole
Indicates that an entity serves as the administrative capital of a specified county.
-
C.
formerCapitalOf
chosen
Indicates that a place once served as the capital of another entity (such as a country or region) but no longer holds that status.
-
D.
formerCapitalLocatedIn
Indicates that a city or settlement once served as the capital of a region or country but no longer holds that status, and specifies the location in which it formerly functioned as the capital.
-
E.
isCountyOfCapital
Indicates that a given county is the administrative region in which a specified capital city is located.
- 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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00bcfed6448190b2e816bbe7c61c55 |
completed | May 10, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_6a00bc7be24c81908ba5c1957edd2c10 |
completed | May 10, 2026, 5:12 p.m. |
Created at: May 3, 2026, 4:14 p.m.