Triple

T12151813
Position Surface form Disambiguated ID Type / Status
Subject Maebashi E289472 entity
Predicate hasRiver P165 FINISHED
Object Karasu River E455160 NE FINISHED

How this triple was built (2 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: Karasu River | Statement: [Maebashi, hasRiver, Karasu River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karasu River
Context triple: [Maebashi, hasRiver, Karasu River]
  • A. Karasu River chosen
    The Karasu River is a Japanese river that flows through Gunma Prefecture, including the city of Takasaki, and is part of the Tone River system.
  • B. Karasu River
    The Karasu River is a watercourse in northwestern Turkey that flows through Bilecik Province and contributes to the region’s local hydrology and agriculture.
  • C. Tokko River
    The Tokko River is a tributary waterway in eastern Siberia, Russia, that feeds into the larger Olyokma River within the Lena River basin.
  • D. Yoshii River
    The Yoshii River is a significant river in Japan that serves as one of the main tributaries feeding the larger Shinano River system.
  • E. Yoshii River
    The Yoshii River is a significant river in Okayama Prefecture, Japan, known for flowing through several cities and supporting local agriculture and ecosystems before emptying into the Seto Inland Sea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ae736c8190aaab05efb93c5854 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64e2991c81908f474fe07a6ba10a completed May 8, 2026, 10:34 p.m.
Created at: April 8, 2026, 9:49 p.m.