Triple

T11831420
Position Surface form Disambiguated ID Type / Status
Subject Trnava Region E281400 entity
Predicate containsRiver P165 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: [Trnava Region, containsRiver, Morava River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morava River
Context triple: [Trnava Region, containsRiver, 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. Pliva River
    The Pliva River is a river in central Bosnia and Herzegovina known for its scenic waterfalls, lakes, and the historic town of Jajce along its course.
  • C. Bes River
    The Bes River is a regional river in central India that flows near the city of Vidisha in Madhya Pradesh.
  • D. 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.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62c95988190a45dbaa7001c8846 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f45825e9ac8190ad13d4b4e0208d20 completed May 1, 2026, 7:37 a.m.
Created at: April 8, 2026, 9:43 p.m.