Triple
T11437466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awá |
E271046
|
entity |
| Predicate | selfIdentification |
P4296
|
FINISHED |
| Object | Awá |
E271046
|
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: Awá | Statement: [Awá, selfIdentification, Awá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awá Context triple: [Awá, selfIdentification, Awá]
-
A.
Awá
chosen
The Awá are an Indigenous people of the Colombia–Ecuador border region, known for their rainforest-based livelihoods and strong defense of their ancestral territories.
-
B.
Awa
Awa is an alternative name for the Wa language, an Austroasiatic language spoken by the Wa people in parts of China and Myanmar.
-
C.
Agua
Agua is a large stratovolcano in southern Guatemala that looms over the city of Antigua and is known for its symmetrical cone and historical lahars.
-
D.
Suawa
Suawa is an Austronesian language spoken by the Suwawa people of North Sulawesi, Indonesia.
-
E.
Maritta
Maritta is a feminine given name, typically considered a variant of names like Marita or Maria used in various European cultures.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8088711ec8190afae9f4d9f2a11ca |
completed | April 9, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8ed579c8190b1ddc1dce20d9617 |
completed | April 20, 2026, 8:50 a.m. |
Created at: April 8, 2026, 9:35 p.m.