Triple
T22168081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arekuna |
E547847
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object |
Arekuna language
The Arekuna language is a Cariban language spoken by the Arekuna (Pemon) Indigenous people of Venezuela, Brazil, and Guyana.
|
E1523805
|
NE FINISHED |
How this triple was built (4 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: Arekuna language | Statement: [Arekuna, language, Arekuna language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arekuna language Context triple: [Arekuna, language, Arekuna language]
-
A.
Amarakaeri language
The Amarakaeri language is an indigenous Harakmbut language spoken by the Amarakaeri people of the Peruvian Amazon.
-
B.
Aka-Jeru language
The Aka-Jeru language is an extinct indigenous tongue once spoken by the Aka-Jeru people of the Andaman Islands, belonging to the Ongan branch of the Andamanese language family.
-
C.
Aka-Bea language
The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
-
D.
Agutaynen language
Agutaynen is an Austronesian language spoken by the Agutaynen people of Palawan in the Philippines.
-
E.
Lotuko language
The Lotuko language is an Eastern Nilotic language spoken primarily by the Lotuko people of South Sudan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arekuna language Triple: [Arekuna, language, Arekuna language]
Generated description
The Arekuna language is a Cariban language spoken by the Arekuna (Pemon) Indigenous people of Venezuela, Brazil, and Guyana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arekuna language Target entity description: The Arekuna language is a Cariban language spoken by the Arekuna (Pemon) Indigenous people of Venezuela, Brazil, and Guyana.
-
A.
Amarakaeri language
The Amarakaeri language is an indigenous Harakmbut language spoken by the Amarakaeri people of the Peruvian Amazon.
-
B.
Aka-Jeru language
The Aka-Jeru language is an extinct indigenous tongue once spoken by the Aka-Jeru people of the Andaman Islands, belonging to the Ongan branch of the Andamanese language family.
-
C.
Aka-Bea language
The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
-
D.
Agutaynen language
Agutaynen is an Austronesian language spoken by the Agutaynen people of Palawan in the Philippines.
-
E.
Lotuko language
The Lotuko language is an Eastern Nilotic language spoken primarily by the Lotuko people of South Sudan.
- F. None of above. chosen
Provenance (5 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6642b08190980fa0c0d2bb4229 |
completed | April 28, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9ec0dc408190bd15bbbf0f5a79d9 |
completed | May 18, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_6a0aa2a6e9fc819086e7fac0c1214dee |
completed | May 18, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa3b7b23c8190bf50afa02a75f326 |
completed | May 18, 2026, 5:29 a.m. |
Created at: April 16, 2026, 8:34 p.m.