Triple
T14175076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havasupai–Walapai–Yavapai |
E351310
|
entity |
| Predicate | ethnolinguisticGroupType |
P90751
|
FINISHED |
| Object | Native American |
—
|
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: Native American | Statement: [Havasupai–Walapai–Yavapai, ethnolinguisticGroupType, Native American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnolinguisticGroupType Context triple: [Havasupai–Walapai–Yavapai, ethnolinguisticGroupType, Native American]
-
A.
ethnolinguisticGroups
Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
-
B.
ethnicGroupBase
Indicates that one entity serves as the primary or foundational ethnic group from which another entity is derived, associated, or defined.
-
C.
ethnolinguisticCluster
chosen
Indicates a relationship where entities are grouped together based on shared ethnic and linguistic characteristics, treating them as part of the same ethnolinguistic cluster.
-
D.
ethnolinguisticGroupSize
Indicates the number of individuals belonging to a particular ethnolinguistic group.
-
E.
ethnicGroupNamed
Indicates that an ethnic group bears or is identified by a particular 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b7cc3081909f4fa371e1eae130 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:02 a.m.