Triple
T17626910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aka-Jeru language |
E429868
|
entity |
| Predicate | category |
P87
|
FINISHED |
| Object | Ongan languages |
—
|
NE NERFINISHED |
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: Ongan languages | Statement: [Aka-Jeru language, category, Ongan languages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ongan languages Context triple: [Aka-Jeru language, category, Ongan languages]
-
A.
Ongan languages
chosen
The Ongan languages are a small family of indigenous languages spoken by the Ongan peoples of the Andaman Islands in the Indian Ocean.
-
B.
Angas languages
Angas languages are a group of closely related Chadic languages spoken primarily in central Nigeria.
-
C.
Angan languages
The Angan languages are a group of closely related Papuan languages spoken primarily in the highlands of southeastern Papua New Guinea.
-
D.
Angkuic languages
The Angkuic languages are a subgroup of Austroasiatic languages spoken primarily in parts of Myanmar, China, and neighboring regions, known for their complex phonology and close relation to other Palaungic languages.
-
E.
Oko languages
Oko languages are a small group of closely related Niger-Congo languages spoken primarily in central Nigeria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbd122c8190a5db8c0088c81034 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 5:52 a.m.