Triple
T30545211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakkila |
E777392
|
entity |
| Predicate | locatedInEurope |
P202855
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nakkila, locatedInEurope, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInEurope Context triple: [Nakkila, locatedInEurope, true]
-
A.
locatedInNorthernEurope
Indicates that the subject is geographically situated within the region of Northern Europe.
-
B.
locatedInEurozone
Indicates that the subject entity is situated within the geographic or economic area of the Eurozone.
-
C.
locatedInCentralEurope
Indicates that something is geographically situated within the region of Central Europe.
-
D.
representsInEurope
Indicates that an entity serves as an official representative or has representational presence within Europe.
-
E.
locatedInEasternHemisphere
Indicates that the subject is geographically situated within the Eastern Hemisphere of the Earth.
- F. None of above. chosen
Provenance (4 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_69f2249d183c8190b79937c1768d2163 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00c59b03dc8190870f0dd24603a1ef |
completed | May 10, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_6a00c5178bc88190b2a0e03f38314035 |
completed | May 10, 2026, 5:49 p.m. |
| PDg | Predicate description generation | batch_6a00c59a1af88190848c5b1775af9caa |
completed | May 10, 2026, 5:51 p.m. |
Created at: April 29, 2026, 8:19 p.m.