Triple

T9824825
Position Surface form Disambiguated ID Type / Status
Subject South Central Europe E238628 entity
Predicate hasRiver P165 FINISHED
Object Sava E75220 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: Sava | Statement: [South Central Europe, hasRiver, Sava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sava
Context triple: [South Central Europe, hasRiver, Sava]
  • A. Sava
    Sava is a European tire brand known for producing affordable, reliable tires, particularly popular in Central and Eastern Europe.
  • B. Sava
    Sava is a town and comune in the Province of Taranto in the Apulia region of southern Italy, known for its wine and olive oil production.
  • C. Sava chosen
    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.
  • D. 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.
  • E. Istra River
    The Istra River is a waterway in the Moscow region of Russia that flows through the town of Istra before joining the Moskva River.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3181c688190afea3b27ee392a30 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d2cb5108190aa15b60ea76bfa78 completed April 5, 2026, 7:20 a.m.
Created at: March 30, 2026, 8:31 p.m.