Triple
T34364086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nayeon |
E881960
|
entity |
| Predicate | groupCountry |
P179878
|
FINISHED |
| Object | South Korea |
—
|
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: South Korea | Statement: [Nayeon, groupCountry, South Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: groupCountry Context triple: [Nayeon, groupCountry, South Korea]
-
A.
legendCountry
Indicates that a given country is associated with, or represented in, a particular legend or map legend.
-
B.
collectionCountry
Indicates the country in which an item, specimen, or data was collected.
-
C.
countryRepresented
Indicates that one entity serves as the official representative (such as an athlete, diplomat, or delegate) of a specific country in a given context or event.
-
D.
repositoryCountry
Indicates the country in which a repository is located or maintained.
-
E.
clubCountryReferenced
Indicates that a club is associated with or located in a particular country.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f728a345488190bd7e6751b09ac591 |
completed | May 3, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69f7283ef2608190a7a85d7e7f5332c0 |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f728a1a0d081909e1b4465e7b88390 |
completed | May 3, 2026, 10:51 a.m. |
Created at: May 1, 2026, 1:58 a.m.