Triple

T3578435
Position Surface form Disambiguated ID Type / Status
Subject Koshi River E75742 entity
Predicate majorTributary P415 FINISHED
Object Tama Koshi E370117 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: Tama Koshi | Statement: [Koshi River, majorTributary, Tama Koshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tama Koshi
Context triple: [Koshi River, majorTributary, Tama Koshi]
  • A. Sun Koshi chosen
    Sun Koshi is a significant Himalayan river in Nepal known for its long, challenging whitewater rafting routes and contribution to the Koshi river system.
  • B. Kashiba
    Kashiba is a city in Japan known for its residential communities and location in the northwestern part of Nara Prefecture, near the Osaka metropolitan area.
  • C. Osami Nagano
    Osami Nagano was a Japanese admiral who served as Chief of the Imperial Japanese Navy General Staff and was a key strategist behind Japan’s early World War II naval operations, including the attack on Pearl Harbor.
  • D. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • E. Toshihide
    Toshihide is a Japanese given name most notably borne by Nobel Prize–winning theoretical physicist Toshihide Maskawa.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0defe14819095a337a840e33300 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402ef79e481909acd5d96678bc003 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.