Triple
T8359881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiquitano |
E196979
|
entity |
| Predicate | languageIsolateOrUnclassified |
P40557
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Chiquitano, languageIsolateOrUnclassified, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageIsolateOrUnclassified Context triple: [Chiquitano, languageIsolateOrUnclassified, yes]
-
A.
hasLanguageIsolate
chosen
Indicates that an entity’s language is not demonstrably related to any other known language family, standing as a unique linguistic isolate.
-
B.
linguisticIsolation
Indicates a condition where an entity is separated from others in terms of language, lacking shared or effective linguistic communication.
-
C.
linguisticClassification
Indicates the relationship by which an entity is categorized according to its language or linguistic type.
-
D.
languageIndependence
Indicates that a concept, method, or representation does not depend on any specific programming or natural language and can be applied uniformly across different languages.
-
E.
isLanguageOf
Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb807134008190b4671326e0414210 |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6 p.m.