Triple

T4015476
Position Surface form Disambiguated ID Type / Status
Subject Istrinskoye Reservoir E90745 entity
Predicate watercourse P415 FINISHED
Object Istra River E106180 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: Istra River | Statement: [Istrinskoye Reservoir, watercourse, Istra River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Istra River
Context triple: [Istrinskoye Reservoir, watercourse, Istra River]
  • A. Istra River chosen
    The Istra River is a waterway in the Moscow region of Russia that flows through the town of Istra before joining the Moskva River.
  • B. Sava
    Sava is a major river in Central and Southeastern Europe that flows through countries including Slovenia, Croatia, Bosnia and Herzegovina, and Serbia before joining the Danube.
  • C. Sava
    Sava is the monastic and religious name of Saint Sava, the medieval Serbian prince-turned-monk who became the first Archbishop of the autocephalous Serbian Orthodox Church and a key figure in Serbian religious and cultural history.
  • D. Sava
    Sava is a European tire brand known for producing affordable, reliable tires, particularly popular in Central and Eastern Europe.
  • E. Neretva
    Neretva is a major river in the western Balkans, known for its emerald-green waters, deep canyons, and historic bridges such as the Stari Most in Mostar.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa7352481908232534c89a698e7 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b595fb203881909a11e9f77aa88ebd completed March 14, 2026, 5:08 p.m.
Created at: March 9, 2026, 3:35 p.m.