Triple
T5907373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woods Cree |
E131371
|
entity |
| Predicate | endonymLanguageName |
P52154
|
FINISHED |
| Object | nīhithawīwin |
—
|
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: nīhithawīwin | Statement: [Woods Cree, endonymLanguageName, nīhithawīwin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endonymLanguageName Context triple: [Woods Cree, endonymLanguageName, nīhithawīwin]
-
A.
hasEndonym
Indicates that an entity has a name or designation used by native speakers or within its own local language or community.
-
B.
localLanguageName
chosen
Indicates the name of a language as it is written or referred to in its own local or native form.
-
C.
eponymLanguage
Indicates that a language is named after (is the eponym of) a particular person, place, or entity.
-
D.
hasLanguageOfToponym
Indicates that a place name (toponym) is expressed in or associated with a particular language.
-
E.
ethnonymInLanguage
Indicates that a given term is the name used in a specified language to refer to the people of a particular ethnic group or nationality.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0334fcf6481908e8e74105de9d49b |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:59 p.m.