Triple
T16893334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aka-Kede language |
E424230
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Aka-Bea language |
E422497
|
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: Aka-Bea language | Statement: [Aka-Kede language, relatedTo, Aka-Bea language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aka-Bea language Context triple: [Aka-Kede language, relatedTo, Aka-Bea language]
-
A.
Aka-Bea language
chosen
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.
-
B.
Aka-Bo language
The Aka-Bo language was an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
-
C.
Avokaya language
The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
-
D.
Aka-Kora language
The Aka-Kora language is an extinct Great Andamanese language once spoken by the indigenous Aka-Kora people of North Andaman Island in India.
-
E.
Teke-Kega language
The Teke-Kega language is a Bantu language spoken by the Teke people of Central Africa, primarily in the Republic of the Congo and surrounding regions.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc6b97c8190b18aca477d6ef647 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7aa83bc8190832d2f3903ce0081 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.