Triple
T11761235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibibio language |
E279659
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Anaang 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: Anaang language | Statement: [Ibibio language, closelyRelatedTo, Anaang language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anaang language Context triple: [Ibibio language, closelyRelatedTo, Anaang 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.
Anuak language
The Anuak language is a Nilotic language spoken primarily by the Anuak people of western Ethiopia and eastern South Sudan.
-
E.
Aringa language
The Aringa language is a Central Sudanic language spoken primarily by the Aringa people in northwestern Uganda.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a4be7c481908deab31f2ee20e0c |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 8, 2026, 9:41 p.m.