Triple
T12292845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punu people |
E293007
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Punu language |
E626647
|
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: Punu language | Statement: [Punu people, language, Punu language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Punu language Context triple: [Punu people, language, Punu language]
-
A.
Punu languages
chosen
Punu languages are a subgroup of Bantu languages spoken primarily by the Punu people of Gabon and neighboring regions, known for their close linguistic and cultural ties to other Western Bantu groups.
-
B.
Paraujano language
The Paraujano language is an indigenous Arawakan (Maipurean) language historically spoken by the Paraujano people of northwestern Venezuela, now critically endangered or nearly extinct.
-
C.
Pokomo language
The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
-
D.
Puyuma language
The Puyuma language is an endangered Austronesian language spoken by the Puyuma Indigenous people of southeastern Taiwan.
-
E.
Munduruku language
The Munduruku language is an indigenous Tupian language spoken by the Munduruku people of the Amazon 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d22ba488190914342fa7e69e159 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e775dac819099d44b61cbccc109 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.