Triple
T12337442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okano River |
E294125
|
entity |
| Predicate | nameInFrench |
P6538
|
FINISHED |
| Object |
Okano
Okano is a river in Gabon that flows through the country’s rainforest regions and is a tributary of the Ogooué River.
|
E977636
|
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: Okano | Statement: [Okano River, nameInFrench, Okano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okano Context triple: [Okano River, nameInFrench, Okano]
-
A.
Okano
Okano is a notable district within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
-
B.
Okinori Kaya
Okinori Kaya was a Japanese bureaucrat and politician who served as Finance Minister before and during World War II and was later convicted as a Class A war criminal.
-
C.
Yuya Osako
Yuya Osako is a Japanese professional footballer and forward known for his goal-scoring ability in both the J.League and the Japan national team.
-
D.
Ikue Ōtani
Ikue Ōtani is a Japanese voice actress best known for providing the iconic voice of Pikachu in the Pokémon franchise.
-
E.
Nomura Daiki
Nomura Daiki is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Nomura.
- 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: Okano Triple: [Okano River, nameInFrench, Okano]
Generated description
Okano is a river in Gabon that flows through the country’s rainforest regions and is a tributary of the Ogooué River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Okano Target entity description: Okano is a river in Gabon that flows through the country’s rainforest regions and is a tributary of the Ogooué River.
-
A.
Okano
Okano is a notable district within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
-
B.
Okinori Kaya
Okinori Kaya was a Japanese bureaucrat and politician who served as Finance Minister before and during World War II and was later convicted as a Class A war criminal.
-
C.
Yuya Osako
Yuya Osako is a Japanese professional footballer and forward known for his goal-scoring ability in both the J.League and the Japan national team.
-
D.
Ikue Ōtani
Ikue Ōtani is a Japanese voice actress best known for providing the iconic voice of Pikachu in the Pokémon franchise.
-
E.
Nomura Daiki
Nomura Daiki is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Nomura.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f678698819091462b44ff3435f6 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa5f21c8190bcb32a078a2f7ebb |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c54e6b08190bdae0ec35cc1c48d |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d0c2568819083e66c8ae484d30d |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.