Triple
T16767592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nembe language |
E407505
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Akassa
Akassa is a dialect of the Nembe language spoken by communities in the Niger Delta region of Nigeria.
|
E1231979
|
NE FINISHED |
How this triple was built (4 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: Akassa | Statement: [Nembe language, hasDialects, Akassa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akassa Context triple: [Nembe language, hasDialects, Akassa]
-
A.
Kassa
Kassa is the historical Hungarian name for the city now known as Košice in eastern Slovakia.
-
B.
Raha
Raha is a town in the Nagaon district of Assam, India, known as the birthplace of prominent Indian freedom fighter and politician Gopinath Bordoloi.
-
C.
Raha
Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
-
D.
Rahan
Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
-
E.
Pansio
Pansio is a coastal district and naval base area in Turku, Finland, known for hosting key facilities of the Finnish Navy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Akassa Triple: [Nembe language, hasDialects, Akassa]
Generated description
Akassa is a dialect of the Nembe language spoken by communities in the Niger Delta region of Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akassa Target entity description: Akassa is a dialect of the Nembe language spoken by communities in the Niger Delta region of Nigeria.
-
A.
Kassa
Kassa is the historical Hungarian name for the city now known as Košice in eastern Slovakia.
-
B.
Raha
Raha is a town in the Nagaon district of Assam, India, known as the birthplace of prominent Indian freedom fighter and politician Gopinath Bordoloi.
-
C.
Raha
Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
-
D.
Rahan
Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
-
E.
Pansio
Pansio is a coastal district and naval base area in Turku, Finland, known for hosting key facilities of the Finnish Navy.
- F. None of above. chosen
Provenance (5 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b033d6b88190a1366a58d63b0546 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a531ea7c81908630f16f6c685d49 |
completed | May 10, 2026, 3:33 p.m. |
| NEDg | Description generation | batch_6a00a5b3ce848190a73f06d9708bfc85 |
completed | May 10, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a6734d008190bb0a5aa28826e73a |
completed | May 10, 2026, 3:38 p.m. |
Created at: April 10, 2026, 5:21 a.m.