Triple

T14219722
Position Surface form Disambiguated ID Type / Status
Subject Chōfu E352456 entity
Predicate traversedByRiver P165 FINISHED
Object Tama River NE NERFINISHED

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 River | Statement: [Chōfu, traversedByRiver, Tama River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tama River
Context triple: [Chōfu, traversedByRiver, Tama River]
  • A. Tama River chosen
    The Tama River is a major river in the Tokyo region of Japan that flows through western Tokyo and Kanagawa Prefecture before emptying into Tokyo Bay near Haneda Airport.
  • B. Imjin River
    The Imjin River is a major river in the Korean Peninsula that flows through both North and South Korea and is historically significant for its strategic location near the Korean Demilitarized Zone.
  • C. Mitta Mitta River
    The Mitta Mitta River is a major river in northeastern Victoria, Australia, known for its alpine catchment, whitewater sections, and role in feeding the Murray River system.
  • D. Era River
    The Era River is a waterway in Papua New Guinea that serves as a significant drainage river for the Papua Gulf region.
  • E. Era River
    The Era River is a smaller watercourse in Tuscany, Italy, that flows through the province of Pisa before joining the Arno River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de621258d4819085f358cd2cf109e4 completed April 14, 2026, 3:49 p.m.
Created at: April 10, 2026, 1:06 a.m.