Triple
T35917989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacagawea dollar |
E1038797
|
entity |
| Predicate | obverseSubjectEthnicity |
P182440
|
FINISHED |
| Object | Shoshone |
—
|
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: Shoshone | Statement: [Sacagawea dollar, obverseSubjectEthnicity, Shoshone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: obverseSubjectEthnicity Context triple: [Sacagawea dollar, obverseSubjectEthnicity, Shoshone]
-
A.
hasBiographicalSubjectEthnicity
chosen
Indicates that the biographical subject is associated with a specific ethnicity.
-
B.
EthnicaSubject
Indicates that the subject has an ethnic or national affiliation characterized by the specified ethnonym or ethnic identity.
-
C.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
D.
representedEthnicFirst
Indicates that an entity served as the first person of a given ethnic group to represent another entity (such as an institution, organization, or jurisdiction).
-
E.
ethnicIdentityOf
Indicates that one entity is the ethnic identity or affiliation possessed by another entity.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.