Triple
T24542811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garnata |
E607141
|
entity |
| Predicate | continentOfTheReferredCity |
P128666
|
FINISHED |
| Object | Europe |
—
|
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: Europe | Statement: [Garnata, continentOfTheReferredCity, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfTheReferredCity Context triple: [Garnata, continentOfTheReferredCity, Europe]
-
A.
continentOfLocation
Indicates that one entity is the continent on which the other entity is geographically located.
-
B.
continentOfHostCity
Indicates the continent on which the host city of an event or entity is located.
-
C.
continentOfCountry
Indicates that a given continent is the one on which a specified country is geographically located.
-
D.
continentOfDestination
Indicates that a specified continent is the destination location associated with an entity’s movement, travel, or targeting.
-
E.
continentOfSubject
chosen
Indicates that the object is the continent on which the subject is located or to which the subject belongs.
- 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:26 a.m.