Triple
T18348664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dobu language |
E439607
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Bwaidoga 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: Bwaidoga language | Statement: [Dobu language, closelyRelatedTo, Bwaidoga language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bwaidoga language Context triple: [Dobu language, closelyRelatedTo, Bwaidoga language]
-
A.
Bwaidoga language
chosen
The Bwaidoga language is an Oceanic language spoken in Papua New Guinea, belonging to the Papuan Tip subgroup of the Austronesian language family.
-
B.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
-
C.
Bwaka language
The Bwaka language is a Central Sudanic language of the Gbaya group spoken by the Bwaka people in parts of Central Africa.
-
D.
Tawbuid language
The Tawbuid language is an Austronesian language spoken by the Tawbuid (Batangan) Mangyan people of Mindoro in the Philippines, closely related to other South Mangyan languages.
-
E.
Biwat language
The Biwat language is a Ramu family Papuan language spoken by the Biwat (Mundugumor) people of Papua New Guinea.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f66a4c8190a0ba53d3b349178a |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 10:37 a.m.