Triple
T6777336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warekena language |
E155590
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Arekena |
E618341
|
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: Arekena | Statement: [Warekena language, hasAlternativeName, Arekena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arekena Context triple: [Warekena language, hasAlternativeName, Arekena]
-
A.
Uarekena
chosen
Uarekena is an indigenous Arawakan language spoken by the Warekena people in parts of Brazil and Venezuela.
-
B.
Itumbiara
Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
-
C.
Egushawa
Egushawa was an 18th-century Ottawa war chief known for his prominent leadership in Native American resistance against United States expansion in the Old Northwest.
-
D.
Punu
Punu is a Bantu language spoken primarily by the Punu people of southern Gabon and neighboring regions.
-
E.
Rumueme
Rumueme is a prominent urban community in Rivers State, Nigeria, forming part of the greater Port Harcourt metropolitan area.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26725208190b64935cfd08b2aff |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8263508190ad5cace74d7d7ac2 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:13 p.m.