Triple

T9703581
Position Surface form Disambiguated ID Type / Status
Subject Somogy County E234838 entity
Predicate hasBorderRiver P225 FINISHED
Object Drava River E74537 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: Drava River | Statement: [Somogy County, hasBorderRiver, Drava River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drava River
Context triple: [Somogy County, hasBorderRiver, Drava River]
  • A. Drava chosen
    The Drava is a major Central European river that flows through countries including Italy, Austria, Slovenia, Croatia, and Hungary before joining the Danube.
  • B. 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.
  • 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 European tire brand known for producing affordable, reliable tires, particularly popular in Central and Eastern Europe.
  • E. 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.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d73a0148190ad4178fd462cdd9c completed April 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f800ec48190bc3028ecb3baeb28 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:18 p.m.