Triple
T25241625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onge tribal reserve |
E632484
|
entity |
| Predicate | languageCommunityProtected |
P5562
|
FINISHED |
| Object | Onge 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: Onge language speakers | Statement: [Onge tribal reserve, languageCommunityProtected, Onge language speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageCommunityProtected Context triple: [Onge tribal reserve, languageCommunityProtected, Onge language speakers]
-
A.
languageLocalCommunities
Indicates that a language is used, maintained, or holds significance within specific local communities or regions.
-
B.
hasLanguageCommunity
chosen
Indicates that an entity is associated with or serves a particular language community.
-
C.
languageUsedInLocality
Indicates that a particular language is used or spoken within a specific locality or geographic area.
-
D.
ethnicCommunityBase
Indicates that an ethnic community is based in, originates from, or is primarily associated with a particular place or area.
-
E.
languageOfSurroundingCulture
Indicates that one entity is the language predominantly used or characteristic of the surrounding culture associated with 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 21, 2026, 1:07 p.m.