Triple

T8183766
Position Surface form Disambiguated ID Type / Status
Subject Olomouc E191130 entity
Predicate locatedOn P40 FINISHED
Object Morava River E398549 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: Morava River | Statement: [Olomouc, locatedOn, Morava River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morava River
Context triple: [Olomouc, locatedOn, Morava River]
  • A. Morava River chosen
    The Morava River is a major Central European river flowing through the Czech Republic, Slovakia, and Austria, forming part of the natural border between the latter two countries before joining the Danube.
  • B. Bes River
    The Bes River is a regional river in central India that flows near the city of Vidisha in Madhya Pradesh.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4f4ef88190ad346edad14b67ee completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1cb9c9e0819080ea2875b22537ec completed April 2, 2026, 7:37 a.m.
Created at: March 30, 2026, 5:41 p.m.