Triple
T6698746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamato River |
E152820
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Saho River
The Saho River is a Japanese river in the Kansai region that forms part of the Yamato River system.
|
E731587
|
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: Saho River | Statement: [Yamato River, hasTributary, Saho River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saho River Context triple: [Yamato River, hasTributary, Saho River]
-
A.
Sonai River
The Sonai River is a tributary waterway in northeastern India that feeds into the larger Barak River system.
-
B.
Ichu River
The Ichu River is a waterway in the central highlands of Peru that flows through the Huancavelica region, contributing to its Andean landscape and local ecosystems.
-
C.
Gomai River
The Gomai River is a smaller river in western India that feeds into the larger Tapti River system.
-
D.
Futun River
The Futun River is a significant waterway in Fujian, China, known for feeding into the Min River and supporting regional transport, agriculture, and ecosystems.
-
E.
Segama River
The Segama River is one of the longest and most significant rivers in the Malaysian state of Sabah, known for flowing through rich rainforest and wildlife habitats in eastern Borneo.
- 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: Saho River Triple: [Yamato River, hasTributary, Saho River]
Generated description
The Saho River is a Japanese river in the Kansai region that forms part of the Yamato River system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saho River Target entity description: The Saho River is a Japanese river in the Kansai region that forms part of the Yamato River system.
-
A.
Sonai River
The Sonai River is a tributary waterway in northeastern India that feeds into the larger Barak River system.
-
B.
Ichu River
The Ichu River is a waterway in the central highlands of Peru that flows through the Huancavelica region, contributing to its Andean landscape and local ecosystems.
-
C.
Gomai River
The Gomai River is a smaller river in western India that feeds into the larger Tapti River system.
-
D.
Futun River
The Futun River is a significant waterway in Fujian, China, known for feeding into the Min River and supporting regional transport, agriculture, and ecosystems.
-
E.
Segama River
The Segama River is one of the longest and most significant rivers in the Malaysian state of Sabah, known for flowing through rich rainforest and wildlife habitats in eastern Borneo.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0a6082c819097a4301538399f59 |
completed | March 27, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce019fb0cc81908a24b0e39110325d |
completed | April 2, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ce064211e48190b558d4355be659ba |
completed | April 2, 2026, 6:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce07a390048190ac26a7e3d3d561e0 |
completed | April 2, 2026, 6:07 a.m. |
Created at: March 27, 2026, 2:05 p.m.