Triple

T2775063
Position Surface form Disambiguated ID Type / Status
Subject Samara Oblast E61547 entity
Predicate hasRiver P165 FINISHED
Object Maly Kinel River E370641 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: Maly Kinel River | Statement: [Samara Oblast, hasRiver, Maly Kinel River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maly Kinel River
Context triple: [Samara Oblast, hasRiver, Maly Kinel River]
  • A. Maly Kinel River chosen
    The Maly Kinel River is a smaller watercourse in Russia that serves as one of the tributaries feeding into the larger Samara River system.
  • B. Kasplya River
    The Kasplya River is a tributary waterway in Eastern Europe that feeds into the larger Daugava River system.
  • C. Khimka River
    The Khimka River is a small waterway in the Moscow Oblast of Russia that flows through the city of Khimki and into the Moscow Canal.
  • D. Sakmara River
    The Sakmara River is a major river in Russia that flows through the southern Ural region before joining the Ural River.
  • E. Limmat River
    The Limmat River is a major Swiss waterway that flows out of Lake Zurich and runs through the city of Zurich before joining the Aare 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd7f9570819087f1b1cb59d68586 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b54c16c05481908f451b492ca9f47f completed March 14, 2026, 11:52 a.m.
Created at: March 6, 2026, 9:57 p.m.