Triple
T27136028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitikiti'sh |
E681687
|
entity |
| Predicate | culturalLinguisticGroup |
P90751
|
FINISHED |
| Object | Wichita language |
—
|
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: Wichita language | Statement: [Kitikiti'sh, culturalLinguisticGroup, Wichita language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalLinguisticGroup Context triple: [Kitikiti'sh, culturalLinguisticGroup, Wichita language]
-
A.
ethnolinguisticGroups
Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
-
B.
ethnicOrCulturalGroup
Indicates that one entity belongs to, is associated with, or is characterized by a particular ethnic or cultural group represented by the other entity.
-
C.
arealLinguisticGroup
Indicates a relationship where languages are grouped together based on shared features arising from geographic proximity and contact, rather than common genetic origin.
-
D.
majorLanguageGroupOf
Indicates that one language group is the primary or dominant linguistic classification to which another language or set of languages belongs.
-
E.
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.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 9:07 a.m.