Triple

T6262736
Position Surface form Disambiguated ID Type / Status
Subject Alexandrina E140338 entity
Predicate shortForm P43 FINISHED
Object Drina E160289 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: Drina | Statement: [Alexandrina, shortForm, Drina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drina
Context triple: [Alexandrina, shortForm, Drina]
  • A. Drina chosen
    The Drina is a significant river in the western Balkans, forming much of the border between Bosnia and Herzegovina and Serbia and known for its scenic canyons and historical importance.
  • B. Kolubara
    Kolubara is a river in western Serbia known for flowing through the Kolubara coal basin before joining the Sava River.
  • C. 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.
  • D. 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.
  • E. Sava
    Sava is a European tire brand known for producing affordable, reliable tires, particularly popular in Central and Eastern Europe.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06387fec0819095b47a37b9402aa9 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3f7faf08190a349c9444135afb8 completed March 27, 2026, 1:57 a.m.
Created at: March 22, 2026, 4:25 p.m.