Triple
T16151744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quiché Department |
E391926
|
entity |
| Predicate | majorIndigenousLanguage |
P108764
|
FINISHED |
| Object | Kʼicheʼ language |
—
|
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: Kʼicheʼ language | Statement: [Quiché Department, majorIndigenousLanguage, Kʼicheʼ language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorIndigenousLanguage Context triple: [Quiché Department, majorIndigenousLanguage, Kʼicheʼ language]
-
A.
mainIndigenousLanguage
chosen
Indicates the primary indigenous language predominantly used or spoken by a person, group, or within a specific context.
-
B.
isOneOfMostSpokenIndigenousLanguagesIn
Indicates that a language ranks among the most widely spoken indigenous languages within a specified region or country.
-
C.
hasIndigenousLanguageSpoken
Indicates that an entity is associated with an indigenous language that is or was spoken by it or within its context.
-
D.
isRecognizedAsIndigenousLanguage
Indicates that a language is officially acknowledged or accepted as belonging to an indigenous people or community.
-
E.
hasIndigenousLanguageFamily
Indicates that an entity’s indigenous language belongs to, or is classified under, a particular language family.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d981950819087fdacc7879dca97 |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.