Triple
T5272229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slavey |
E119285
|
entity |
| Predicate | hasExonymOrigin |
P4705
|
FINISHED |
| Object | term given by neighboring peoples and Europeans |
—
|
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: term given by neighboring peoples and Europeans | Statement: [Slavey, hasExonymOrigin, term given by neighboring peoples and Europeans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExonymOrigin Context triple: [Slavey, hasExonymOrigin, term given by neighboring peoples and Europeans]
-
A.
hasExonym
chosen
Indicates that one entity is known by an alternative name or designation in another language or cultural context.
-
B.
exonymStatus
Indicates the status or classification of a name used in one language to refer to a place, people, or entity known by a different name in its own language.
-
C.
hasEndonym
Indicates that an entity has a name or designation used by native speakers or within its own local language or community.
-
D.
hasLanguageOfOrigin
Indicates that one entity has its origin or source in the language specified by another entity.
-
E.
hasEthnonymCountry
Indicates that an ethnonym (a name for an ethnic group or people) is associated with or pertains to a specific country.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.