Triple
T7180012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arosi language |
E167421
|
entity |
| Predicate | neighboringLanguage |
P16383
|
FINISHED |
| Object | Owa language |
E179008
|
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: Owa language | Statement: [Arosi language, neighboringLanguage, Owa language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Owa language Context triple: [Arosi language, neighboringLanguage, Owa language]
-
A.
Okrika language
The Okrika language is an Ijaw language spoken primarily by the Okrika people in Rivers State, Nigeria, along the Niger Delta.
-
B.
Waja language
The Waja language is a lesser-known Niger-Congo language spoken by the Waja people of northeastern Nigeria.
-
C.
Ouma language
Ouma language is an extinct Papuan language once spoken in the Papuan Tip region of southeastern Papua New Guinea.
-
D.
Anywa language
Anywa language is a Nilotic language spoken primarily by the Anyuak people in South Sudan and western Ethiopia.
-
E.
Kwaio language
chosen
The Kwaio language is an Austronesian language spoken by the Kwaio people on Malaita in the Solomon Islands.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8ba91908190a9055d4e026b655c |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b935eb088190acb0b8a6b75addbb |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:49 p.m.