Triple

T5845066
Position Surface form Disambiguated ID Type / Status
Subject Orlice E129687 entity
Predicate flowsInto P408 FINISHED
Object Labe E550648 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: Labe | Statement: [Orlice, flowsInto, Labe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labe
Context triple: [Orlice, flowsInto, Labe]
  • A. Labe chosen
    Labe, known internationally as the Elbe, is a major Central European river that flows from the Czech Republic through Germany to the North Sea.
  • B. Berounka River
    The Berounka River is a significant river in the Czech Republic that flows through western and central Bohemia, known for its scenic valleys, recreational activities, and role as a tributary of the Vltava River.
  • C. Dyje
    The Dyje is a major river in Central Europe that flows through the Czech Republic and Austria, forming part of their border and contributing significantly to the Morava River basin.
  • D. Hron River
    The Hron River is a major river in central Slovakia that flows through mountainous regions including the Low Tatras before joining the Danube.
  • E. Nitra River
    The Nitra River is a significant river in western Slovakia that flows through several towns and agricultural regions before joining the Váh 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034dcafe88190a438034a539ffa52 completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113464f7481909538a1f2ef05216c completed March 23, 2026, 10:17 a.m.
Created at: March 22, 2026, 3:55 p.m.