Triple
T16767829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opokuma language |
E407512
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Opokuma Izon
Opokuma Izon is a dialect of the Izon (Ijaw) language spoken by the Opokuma people in Nigeria’s Niger Delta region.
|
E1231997
|
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: Opokuma Izon | Statement: [Opokuma language, hasAlternativeName, Opokuma Izon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opokuma Izon Context triple: [Opokuma language, hasAlternativeName, Opokuma Izon]
-
A.
Ōiso
Ōiso is a coastal town in Kanagawa Prefecture, Japan, known as a historic seaside resort and former political retreat.
-
B.
Ōtoku
Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
-
C.
Maruim
Maruim is a municipality in the Brazilian state of Sergipe, located along the Sergipe River and known for its historical and regional cultural significance.
-
D.
Omura
Omura is a coastal city in western Japan known for its proximity to Nagasaki, Omura Bay, and its regional industrial and transportation hubs.
-
E.
Otomari
Otomari was a settlement in southern Sakhalin (then Karafuto) that served as a strategic Japanese military garrison area before and during World War II.
- 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: Opokuma Izon Triple: [Opokuma language, hasAlternativeName, Opokuma Izon]
Generated description
Opokuma Izon is a dialect of the Izon (Ijaw) language spoken by the Opokuma people in Nigeria’s Niger Delta region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Opokuma Izon Target entity description: Opokuma Izon is a dialect of the Izon (Ijaw) language spoken by the Opokuma people in Nigeria’s Niger Delta region.
-
A.
Ōiso
Ōiso is a coastal town in Kanagawa Prefecture, Japan, known as a historic seaside resort and former political retreat.
-
B.
Ōtoku
Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
-
C.
Maruim
Maruim is a municipality in the Brazilian state of Sergipe, located along the Sergipe River and known for its historical and regional cultural significance.
-
D.
Omura
Omura is a coastal city in western Japan known for its proximity to Nagasaki, Omura Bay, and its regional industrial and transportation hubs.
-
E.
Otomari
Otomari was a settlement in southern Sakhalin (then Karafuto) that served as a strategic Japanese military garrison area before and during World War II.
- 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.