Triple
T16617491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beti-Fang cluster |
E403731
|
entity |
| Predicate | hasLanguageVariety |
P5595
|
FINISHED |
| Object | Okak Fang |
E92466
|
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: Okak Fang | Statement: [Beti-Fang cluster, hasLanguageVariety, Okak Fang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okak Fang Context triple: [Beti-Fang cluster, hasLanguageVariety, Okak Fang]
-
A.
Okak
chosen
Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
-
B.
Okeke
Okeke is a common Igbo surname of Nigerian origin, borne by many individuals across various professions and regions.
-
C.
Okuku
Okuku is a town in Osun State, southwestern Nigeria, situated near the city of Ikirun.
-
D.
Fomboni
Fomboni is the largest town and administrative center of the island of Mohéli in the Comoros, known for its coastal setting and role as the island’s main port and commercial hub.
-
E.
Owukpa
Owukpa is a town in Ogbadibo Local Government Area of Benue State, Nigeria, known for its agrarian communities and rich cultural traditions.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754ac9dc8190965197024594742b |
completed | April 18, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007daef18481908c3628a3466300ce |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.