Triple
T21947741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agbor |
E541976
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object | Ika 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: Ika language | Statement: [Agbor, languageSpoken, Ika language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ika language Context triple: [Agbor, languageSpoken, Ika language]
-
A.
Ika language
chosen
The Ika language is a Niger-Congo language spoken primarily in southern Nigeria, closely related to other Igboid varieties and used by the Ika people.
-
B.
Iwak language
The Iwak language is an Austronesian language spoken by an indigenous community in the Cordillera region of northern Luzon in the Philippines.
-
C.
Ikale language
The Ikale language is a Yoruba-related Niger-Congo language spoken primarily by the Ikale people in southwestern Nigeria.
-
D.
Angika language
Angika language is an Eastern Indo-Aryan language spoken primarily in parts of Bihar and Jharkhand in India, known for its close relation to Maithili and its rich regional literary tradition.
-
E.
Kiga language
The Kiga language is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243a2f788190bd4625fa79888696 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:57 p.m.