Triple

T17966903
Position Surface form Disambiguated ID Type / Status
Subject Uono River E449231 entity
Predicate hasNameInLanguage P15 FINISHED
Object Uono-gawa
Uono-gawa is a river in Japan known for flowing through Niigata Prefecture and supporting local agriculture and fisheries.
E1465347 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: Uono-gawa | Statement: [Uono River, hasNameInLanguage, Uono-gawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uono-gawa
Context triple: [Uono River, hasNameInLanguage, Uono-gawa]
  • A. Takinogawa
    Takinogawa is a residential district in Kita Ward, Tokyo, known for its quiet neighborhoods and convenient urban access.
  • B. Biei River
    The Biei River is a scenic river in Hokkaido, Japan, known for flowing through the picturesque landscapes around the town of Biei and the city of Asahikawa.
  • C. Usui River
    The Usui River is a river in Gunma Prefecture, Japan, known for flowing through the city of Takasaki and the surrounding mountainous region.
  • D. Chatanika River
    The Chatanika River is a scenic, free-flowing river in central Alaska popular for fishing, boating, and recreation, flowing through boreal forest and tundra north of Fairbanks.
  • E. Minamishinagawa
    Minamishinagawa is a neighborhood in Tokyo’s Shinagawa ward known for its mix of residential streets, local shops, and proximity to major transport hubs.
  • 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: Uono-gawa
Triple: [Uono River, hasNameInLanguage, Uono-gawa]
Generated description
Uono-gawa is a river in Japan known for flowing through Niigata Prefecture and supporting local agriculture and fisheries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Uono-gawa
Target entity description: Uono-gawa is a river in Japan known for flowing through Niigata Prefecture and supporting local agriculture and fisheries.
  • A. Takinogawa
    Takinogawa is a residential district in Kita Ward, Tokyo, known for its quiet neighborhoods and convenient urban access.
  • B. Biei River
    The Biei River is a scenic river in Hokkaido, Japan, known for flowing through the picturesque landscapes around the town of Biei and the city of Asahikawa.
  • C. Usui River
    The Usui River is a river in Gunma Prefecture, Japan, known for flowing through the city of Takasaki and the surrounding mountainous region.
  • D. Chatanika River
    The Chatanika River is a scenic, free-flowing river in central Alaska popular for fishing, boating, and recreation, flowing through boreal forest and tundra north of Fairbanks.
  • E. Minamishinagawa
    Minamishinagawa is a neighborhood in Tokyo’s Shinagawa ward known for its mix of residential streets, local shops, and proximity to major transport hubs.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b13935908190b5269a84a3df2460 completed April 19, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09504e01b48190a7a40215c542580c completed May 17, 2026, 5:21 a.m.
NEDg Description generation batch_6a09533134208190918e7a545576465c completed May 17, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_6a09539ec5a48190a9a513732b88e4c1 completed May 17, 2026, 5:35 a.m.
Created at: April 10, 2026, 10:22 a.m.