Triple

T1742814
Position Surface form Disambiguated ID Type / Status
Subject Tama E38268 entity
Predicate traversedBy P225 FINISHED
Object Tama River E373354 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 River | Statement: [Tama, traversedBy, Tama River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tama River
Context triple: [Tama, traversedBy, 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. Canning River
    The Canning River is a significant waterway in Western Australia that flows through Perth’s southeastern suburbs before joining the Swan River.
  • D. Warta River
    The Warta River is a major river in western and central Poland, flowing through cities such as Poznań before joining the Oder River.
  • E. Bellinger River
    The Bellinger River is a coastal river in New South Wales, Australia, known for its scenic valley, rich biodiversity, and role in supporting local agriculture and recreation.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c836d48190bd44ea24977aba2d completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b44eb4706c8190870d99abc140973d completed March 13, 2026, 5:51 p.m.
Created at: March 4, 2026, 7:30 p.m.