Triple

T2042594
Position Surface form Disambiguated ID Type / Status
Subject Syr Darya E44777 entity
Predicate mouth P407 FINISHED
Object Aral Sea E53408 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: Aral Sea | Statement: [Syr Darya, mouth, Aral Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aral Sea
Context triple: [Syr Darya, mouth, Aral Sea]
  • A. Aral Sea chosen
    The Aral Sea is a largely dried-up endorheic lake in Central Asia, once one of the world’s largest inland bodies of water and now a symbol of severe environmental degradation caused by river diversion.
  • B. Caspian Sea
    The Caspian Sea is the world’s largest inland body of water, a landlocked saltwater lake situated between Europe and Asia and bordered by several countries including Russia, Kazakhstan, Turkmenistan, Iran, and Azerbaijan.
  • C. Middle Caspian
    Middle Caspian is the deep central basin of the Caspian Sea, situated between its northern shallow shelf and southern deep-water region.
  • D. Aral Sea Basin
    The Aral Sea Basin is a large endorheic drainage region in Central Asia that historically fed the Aral Sea and encompasses major rivers, extensive irrigation networks, and arid to semi-arid landscapes across several countries.
  • E. Nagatinsky Zaton
    Nagatinsky Zaton is a metro station on Moscow’s Big Circle Line serving the Nagatinsky Zaton district in the city’s southeast.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb95587348190bb5719faeaf0aa5d completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae271399a08190946b315f439b9b2f completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:39 p.m.