Triple
T27545621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KOR |
E695351
|
entity |
| Predicate | languageOfDisplayName |
P151534
|
FINISHED |
| Object | English |
—
|
LITERAL FINISHED |
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: English | Statement: [KOR, languageOfDisplayName, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfDisplayName Context triple: [KOR, languageOfDisplayName, English]
-
A.
languageDisplays
Indicates that one entity presents, shows, or renders another entity in a particular language or linguistic form.
-
B.
localLanguageName
Indicates the name of a language as it is written or referred to in its own local or native form.
-
C.
labelNameLanguage
chosen
Indicates the language in which a given label or name is expressed.
-
D.
nativeLanguageFamilyName
Indicates the name of the language family to which an entity’s native language belongs.
-
E.
languageOfLocalization
Indicates the language into which something (such as software, content, or an interface) has been localized for use or display.
- 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_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 27, 2026, 1:33 p.m.