Triple
T24833219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utopia (TV format) |
E621396
|
entity |
| Predicate | exportedToCountry |
P5775
|
FINISHED |
| Object | Israel |
—
|
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: Israel | Statement: [Utopia (TV format), exportedToCountry, Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exportedToCountry Context triple: [Utopia (TV format), exportedToCountry, Israel]
-
A.
exportedTo
chosen
Indicates that goods, services, or resources are sent out from one entity or region to another for trade or sale.
-
B.
countryOfExport
Indicates that one entity is the country from which another entity (such as a product, shipment, or service) is exported.
-
C.
exportedVia
Indicates that something is sent out or made available to an external destination through a specified medium, channel, or mechanism.
-
D.
fruitExportDestination
Indicates the place or country to which fruits are exported as their destination.
-
E.
exportedFrom
Indicates that something has been sent out or shipped from a particular place, source, or origin to another location.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 5:16 a.m.