Triple
T8938917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makushi language |
E212846
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Pemon language |
E208122
|
NE 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: Pemon language | Statement: [Makushi language, closelyRelatedTo, Pemon language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pemon language Context triple: [Makushi language, closelyRelatedTo, Pemon language]
-
A.
Pemon language
chosen
Pemon language is an indigenous Cariban language spoken primarily by the Pemon people of southeastern Venezuela and neighboring regions of Brazil and Guyana.
-
B.
Tsimané language
The Tsimané language is an indigenous South American language of the Mosetenan family spoken by the Tsimané people of Bolivia’s Amazonian lowlands.
-
C.
Warao language
The Warao language is an indigenous language isolate spoken by the Warao people of northeastern Venezuela and nearby regions, particularly in the Orinoco Delta.
-
D.
Yucuna language
The Yucuna language is an indigenous Arawakan language spoken by the Yucuna people of the Colombian Amazon.
-
E.
Juruna language
The Juruna language is an indigenous Tupian language spoken by the Juruna (Yudjá) people of the Xingu region in Brazil.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b7484481909e0d7610552f5386 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1eb308c81909f5be133c75ad568 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:58 p.m.