Triple
T20019033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storheia wind farm |
E494798
|
entity |
| Predicate | isLocatedInCountryWithISOCode |
P135750
|
FINISHED |
| Object | NO |
—
|
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: NO | Statement: [Storheia wind farm, isLocatedInCountryWithISOCode, NO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInCountryWithISOCode Context triple: [Storheia wind farm, isLocatedInCountryWithISOCode, NO]
-
A.
isInCountryISO
chosen
Indicates that one entity is located within, or belongs to, the country identified by a specific ISO country code.
-
B.
isInGeopoliticalEntity
Indicates that one entity is located within, or is a part of, a specific geopolitical unit such as a country, state, or city.
-
C.
existsInConstituentCountry
Indicates that one entity is located within or is present in a country that is a constituent part of a larger sovereign state.
-
D.
meetsInCountry
Indicates that two or more entities have an in-person meeting that takes place within the specified country.
-
E.
isSetInCountry
Indicates that something (such as an event, story, or scene) takes place within the geographical or political boundaries of a specified country.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623e40748190b1abb0ead9acab4e |
completed | April 20, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:34 p.m.