Triple

T2744112
Position Surface form Disambiguated ID Type / Status
Subject Struma E60823 entity
Predicate tributary P415 FINISHED
Object Blagoevgradska Bistritsa E116195 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: Blagoevgradska Bistritsa | Statement: [Struma, tributary, Blagoevgradska Bistritsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blagoevgradska Bistritsa
Context triple: [Struma, tributary, Blagoevgradska Bistritsa]
  • A. Blagoevgradska Bistritsa chosen
    Blagoevgradska Bistritsa is a river in southwestern Bulgaria that flows through the city of Blagoevgrad before joining the Struma River.
  • B. Angren River
    The Angren River is a waterway in eastern Uzbekistan that flows through the Tashkent Region before joining the Syr Darya.
  • 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. Vidnoye
    Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
  • E. Iskar River
    The Iskar River is a significant river in Bulgaria that flows south through Sofia before turning north to cut a dramatic gorge through the Balkan Mountains on its way to the Danube.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb32ef74819096ae399d16d4f31d completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbcebe788190aa2b40158b64b7b2 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:56 p.m.