Triple
T5032947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Greenland |
E113348
|
entity |
| Predicate | languageOfNickName |
P40387
|
FINISHED |
| Object | Greenlandic |
—
|
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: Greenlandic | Statement: [Flag of Greenland, languageOfNickName, Greenlandic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfNickName Context triple: [Flag of Greenland, languageOfNickName, Greenlandic]
-
A.
hasLanguageOfNickname
chosen
Indicates that an entity’s nickname is expressed in, or associated with, a particular language.
-
B.
translationOfNickname
Indicates that one name is a translated form of another name that functions as a nickname.
-
C.
languageCommonlyCalled
Indicates that one language is commonly referred to or known by a particular alternative name or label.
-
D.
languageOfWorkOrName
Indicates the language in which a work is created or a name is expressed.
-
E.
nicknamedFor
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b68d8c8190b8e04fb406abdb0f |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.