Triple
T6830241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiowa-Comanche-Apache Reservation |
E157117
|
entity |
| Predicate | languageGroupsPresent |
P3349
|
FINISHED |
| Object | Kiowa language speakers |
—
|
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: Kiowa language speakers | Statement: [Kiowa-Comanche-Apache Reservation, languageGroupsPresent, Kiowa language speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageGroupsPresent Context triple: [Kiowa-Comanche-Apache Reservation, languageGroupsPresent, Kiowa language speakers]
-
A.
hasLanguageGroup
chosen
Indicates that an entity belongs to, is associated with, or is categorized under a particular language group.
-
B.
languagesSpoken
Indicates that an entity is able to communicate using one or more specified languages.
-
C.
hasLanguages
Indicates that an entity is associated with one or more languages it uses, supports, or is expressed in.
-
D.
estimatedNumberOfLanguages
Indicates the approximate count of distinct languages associated with an entity, typically based on estimation rather than an exact measurement.
-
E.
majorLanguageGroupOf
Indicates that one language group is the primary or dominant linguistic classification to which another language or set of languages belongs.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62820808190ad3c244893e88699 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.