Triple

T6425602
Position Surface form Disambiguated ID Type / Status
Subject Zeya River E128050 entity
Predicate majorTributary P415 FINISHED
Object Selemdzha River E187188 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: Selemdzha River | Statement: [Zeya River, majorTributary, Selemdzha River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selemdzha River
Context triple: [Zeya River, majorTributary, Selemdzha River]
  • A. Selemdzha River chosen
    The Selemdzha River is a significant river in Russia’s Amur Oblast, known for its remote taiga landscapes and role in the regional hydrological system.
  • B. Turka River
    The Turka River is a Siberian river that flows into Lake Baikal, contributing to the lake’s freshwater inflow system.
  • C. Tundzha River
    The Tundzha River is a significant river in southeastern Europe that flows through Bulgaria and Turkey before joining the Maritsa River.
  • D. Teberda River
    The Teberda River is a mountain river in the North Caucasus region of Russia that flows through the Teberda Nature Reserve before joining the Kuban River.
  • E. Akhtuba River
    The Akhtuba River is a distributary of the Volga River in southern Russia, flowing through the Volga–Akhtuba floodplain and playing an important role in regional agriculture and fisheries.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0691f944c81909d4e5d8ef9e494b6 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a1f26d948190b887c4ccc19548cc completed March 29, 2026, 3:52 a.m.
Created at: March 22, 2026, 4:43 p.m.