Triple
T27545623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KOR |
E695351
|
entity |
| Predicate | alternativeDisplayName |
P24023
|
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: [KOR, alternativeDisplayName, South Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeDisplayName Context triple: [KOR, alternativeDisplayName, South Korea]
-
A.
displayName
Indicates the human-readable name or label that is shown to users when presenting an entity.
-
B.
associatedName
chosen
Indicates that one entity has an alternative or related name that is linked or connected to another entity.
-
C.
alternateNameForPlaceInTitle
Indicates that a work’s title uses an alternative name or variant designation for a particular place.
-
D.
knownAsBy
Indicates that one entity is referred to or recognized by another entity using a particular name or designation.
-
E.
alternateDescription
Indicates that an entity has an additional or substitute textual description that can be used in place of its primary description.
- 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 1:33 p.m.