Triple
T34907340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanyó |
E1006765
|
entity |
| Predicate | countryOrCultureOfUse |
P35668
|
FINISHED |
| Object | Hungary |
—
|
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: Hungary | Statement: [Sanyó, countryOrCultureOfUse, Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOrCultureOfUse Context triple: [Sanyó, countryOrCultureOfUse, Hungary]
-
A.
countryOfCult
Indicates that a particular cult, religious group, or worship practice is associated with, originates from, or is primarily practiced in a specific country.
-
B.
countryOrRegionUsed
chosen
Indicates that something is used within, or applies to, a specific country or geographic region.
-
C.
primaryUseCountry
Indicates the country in which something is primarily used or most commonly utilized.
-
D.
cultureOfOrigin
Indicates the cultural background or tradition from which an entity originates or is derived.
-
E.
laterCountryOfOrigin
Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated 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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a018f9c7cf88190adc5daf3806f2077 |
completed | May 11, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_6a018ca4e0e481908091f0c1f8a4c31b |
completed | May 11, 2026, 8 a.m. |
Created at: May 3, 2026, 4 p.m.