Triple
T34349402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waodani |
E881522
|
entity |
| Predicate | alternateNameOrigin |
P3325
|
FINISHED |
| Object | "Auca" is a Quechua exonym meaning "savage" |
—
|
NE NERFINISHED |
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: "Auca" is a Quechua exonym meaning "savage" | Statement: [Waodani, alternateNameOrigin, "Auca" is a Quechua exonym meaning "savage"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternateNameOrigin Context triple: [Waodani, alternateNameOrigin, "Auca" is a Quechua exonym meaning "savage"]
-
A.
hasNameOrigin
chosen
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
B.
knownAsBy
Indicates that one entity is referred to or recognized by another entity using a particular name or designation.
-
C.
alternativeOrigin
Indicates that an entity has a different or secondary source, starting point, or provenance compared to its primary or usual origin.
-
D.
alternativeNameMeaning
Indicates that one entity expresses the meaning or interpretation of an alternative name used for another entity.
-
E.
hasAcronymOrigin
Indicates that an acronym is derived from or originates from a specific longer expression or name.
- 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_69f349bd06008190904c2f86c42749e3 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: May 1, 2026, 1:58 a.m.