Triple
T29215369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KNEBV |
E740653
|
entity |
| Predicate | countryOfIncorporationOfUnderlying |
P22167
|
FINISHED |
| Object | Finland |
—
|
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: Finland | Statement: [KNEBV, countryOfIncorporationOfUnderlying, Finland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfIncorporationOfUnderlying Context triple: [KNEBV, countryOfIncorporationOfUnderlying, Finland]
-
A.
countryOfUnderlyingCompany
Indicates the country in which the underlying company associated with an entity is legally established or primarily based.
-
B.
issuerIncorporationCountry
chosen
Indicates the country in which the issuing entity is legally incorporated.
-
C.
formerCountryOfIncorporation
Indicates that an entity was previously incorporated in a specified country, but is no longer incorporated there.
-
D.
locationOfUnderlyingCompany
Indicates the geographic place where the underlying company is based, registered, or operates.
-
E.
groundingCountry
Indicates the country in which an entity is based, founded, or primarily established.
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fef8c3f2388190b995ec173512945a |
completed | May 9, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69fef65975608190960b78d27e806d4f |
completed | May 9, 2026, 8:54 a.m. |
Created at: April 28, 2026, 12:13 p.m.