Triple
T2220463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogooué River |
E48127
|
entity |
| Predicate | majorTributary |
P415
|
FINISHED |
| Object |
Okano River
The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
|
E294125
|
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 River | Statement: [Ogooué River, majorTributary, Okano River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okano River Context triple: [Ogooué River, majorTributary, Okano River]
-
A.
Shinano River
The Shinano River is Japan’s longest river, flowing through central Honshu before emptying into the Sea of Japan.
-
B.
Mukogawa River
The Mukogawa River is a prominent river in Japan’s Hyōgo Prefecture that flows through cities such as Nishinomiya before emptying into Osaka Bay.
-
C.
Naka River
Naka River is a river in Japan known for lending its name to the Imperial Japanese Navy light cruiser Naka.
-
D.
Yoshino River
The Yoshino River is one of Japan’s major rivers, renowned for its strong currents, hydroelectric dams, and scenic gorges as it flows across the island of Shikoku.
-
E.
Agano River
The Agano River is a major river in Japan’s Tōhoku and Hokuriku regions, known for its scenic valleys, hydroelectric power generation, and historical significance including a notable 1960s industrial mercury pollution incident.
- 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 River Triple: [Ogooué River, majorTributary, Okano River]
Generated description
The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Okano River Target entity description: The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
-
A.
Shinano River
The Shinano River is Japan’s longest river, flowing through central Honshu before emptying into the Sea of Japan.
-
B.
Mukogawa River
The Mukogawa River is a prominent river in Japan’s Hyōgo Prefecture that flows through cities such as Nishinomiya before emptying into Osaka Bay.
-
C.
Naka River
Naka River is a river in Japan known for lending its name to the Imperial Japanese Navy light cruiser Naka.
-
D.
Yoshino River
The Yoshino River is one of Japan’s major rivers, renowned for its strong currents, hydroelectric dams, and scenic gorges as it flows across the island of Shikoku.
-
E.
Agano River
The Agano River is a major river in Japan’s Tōhoku and Hokuriku regions, known for its scenic valleys, hydroelectric power generation, and historical significance including a notable 1960s industrial mercury pollution incident.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc01386588190a9507f2969a201ca |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbba881848190acaff6d216799c2d |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbc2d10c88190a3f265843f98024b |
completed | March 10, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbc9dc9248190abd42ad9785c8605 |
completed | March 10, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:46 p.m.