Triple

T650452
Position Surface form Disambiguated ID Type / Status
Subject Guernica E11334 entity
Predicate locatedOnRiver P165 FINISHED
Object Oka River E56140 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: Oka River | Statement: [Guernica, locatedOnRiver, Oka River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oka River
Context triple: [Guernica, locatedOnRiver, Oka River]
  • A. Oka River chosen
    The Oka River is a major river in central Russia that flows through cities like Oryol, Kaluga, and Nizhny Novgorod before joining the Volga.
  • B. Setun River
    The Setun River is a small river in western Moscow, Russia, known as one of the city's few relatively natural waterways and a tributary of the Moskva River.
  • C. Kiso River
    The Kiso River is a major river in central Japan known for flowing through the Kiso Valley and contributing to the Nōbi Plain’s fertile landscape.
  • D. Vetluga River
    The Vetluga River is a significant waterway in western Russia that flows through several regions before joining the Volga River.
  • E. Hiran River
    The Hiran River is a significant river in central India that flows through Madhya Pradesh and Gujarat, supporting local ecosystems and communities before joining the Narmada River.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f33b6d881908b6662b73d6fe833 completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4279b23c8190854732f4d6d5d6cd completed March 7, 2026, 3:21 p.m.
Created at: March 1, 2026, 7:36 p.m.