Triple
T11877822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annang |
E282576
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Annang language |
E940515
|
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: Annang language | Statement: [Annang, language, Annang language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annang language Context triple: [Annang, language, Annang language]
-
A.
Annang language
chosen
The Annang language is a Niger-Congo language spoken primarily by the Annang people of southern Nigeria, closely associated with the Ibibio-Efik linguistic cluster.
-
B.
Ta-ang language
The Ta-ang language is a Mon–Khmer language spoken primarily by the Ta-ang (Palaung) ethnic group in parts of Myanmar, China, and neighboring regions.
-
C.
Adang language
Adang language is a Papuan language spoken by the Adang people on Alor Island in Indonesia’s Alor archipelago.
-
D.
Angas languages
Angas languages are a group of closely related Chadic languages spoken primarily in central Nigeria.
-
E.
Ahanta language
The Ahanta language is a Niger-Congo language spoken by the Ahanta people along the coastal region of southwestern Ghana.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1b6a5c81909a18c54205dda09c |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281d8c65081908ebaf4bff5670c47 |
completed | April 29, 2026, 10:10 p.m. |
Created at: April 8, 2026, 9:44 p.m.