Triple
T17378339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ongan |
E422499
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Onge language |
—
|
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: Onge language | Statement: [Ongan, hasPart, Onge language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onge language Context triple: [Ongan, hasPart, Onge language]
-
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.
Nǁng language
The Nǁng language is a critically endangered Tuu (Khoisan) language of southern Africa, known for its complex click consonant system and spoken by only a handful of elderly speakers.
-
C.
Nengone language
The Nengone language is an Austronesian language spoken primarily on Maré Island in the Loyalty Islands of New Caledonia.
-
D.
Oron language
The Oron language is a Niger-Congo language spoken by the Oron people of southeastern Nigeria, particularly in coastal areas of Akwa Ibom State.
-
E.
Toongo language
The Toongo language is a lesser-known Gbaya language spoken by a small ethnic community in Central Africa.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6ea56c8190b56d966ccf2c91f7 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.