Triple
T5613487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O le Ao o le Malo |
E147418
|
entity |
| Predicate | countryUsesTitleInLanguage |
P64663
|
FINISHED |
| Object | Samoan language |
—
|
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: Samoan language | Statement: [O le Ao o le Malo, countryUsesTitleInLanguage, Samoan language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryUsesTitleInLanguage Context triple: [O le Ao o le Malo, countryUsesTitleInLanguage, Samoan language]
-
A.
countryNameInEnglish
Indicates the English-language name assigned to a given country.
-
B.
countryLabel
Indicates the name or label of the country associated with an entity.
-
C.
countryNameUsage
Indicates how a country’s name is used or applied in a particular context or representation.
-
D.
countryNameLocal
Indicates the name of a country as expressed in its own local or official language.
-
E.
nationalLanguageStandardizedIn
Indicates that a national language has been formally standardized or codified within a particular country or jurisdiction.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021226cf88190b70b4b51eb5b4144 |
completed | March 22, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69c01b1b3c98819080687d18ab10a914 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:39 p.m.