Triple

T14203821
Position Surface form Disambiguated ID Type / Status
Subject Danube–Tisa–Danube Canal E352032 entity
Predicate regionServed P82 FINISHED
Object Banat E165084 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: Banat | Statement: [Danube–Tisa–Danube Canal, regionServed, Banat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banat
Context triple: [Danube–Tisa–Danube Canal, regionServed, Banat]
  • A. Banat chosen
    Banat is a historical region in Central Europe, now divided among Romania, Serbia, and Hungary, known for its ethnic diversity and multicultural heritage.
  • B. Bosconia
    Bosconia is a Colombian town and municipality located in the Cesar Department, known as an important regional transport and agricultural center.
  • C. Bolhrad
    Bolhrad is a town in southwestern Ukraine known as a historical center of the Bulgarian community in the Odesa region.
  • D. Hernici
    The Hernici were an ancient Italic tribe of central Italy, known for their early alliance and later conflicts with the expanding Roman Republic.
  • E. Syrmia
    Syrmia is a historical region in the Pannonian Plain, located between the Danube and Sava rivers in present-day Serbia and Croatia.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f6d4d481909128084e82e6a58a completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1951421c81908959634e66857b61 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.