Triple

T9685618
Position Surface form Disambiguated ID Type / Status
Subject Tokaj E234399 entity
Predicate atConfluenceOf P11842 FINISHED
Object Tisza River and Bodrog River E37143 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: Tisza River and Bodrog River | Statement: [Tokaj, atConfluenceOf, Tisza River and Bodrog River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tisza River and Bodrog River
Context triple: [Tokaj, atConfluenceOf, Tisza River and Bodrog River]
  • A. Sajó River
    The Sajó River is a waterway in Central Europe, chiefly in present-day Hungary and Slovakia, historically notable as the site of the Mongol victory over the Kingdom of Hungary at the 1241 Battle of Mohi.
  • B. Zala River
    The Zala River is a major river in western Hungary that drains a large catchment area before emptying into Lake Balaton.
  • C. Szamos River
    The Szamos River is a Central European river flowing through Romania and Hungary, known for joining the Tisa River and draining part of the Eastern Carpathians.
  • D. Tisza chosen
    The Tisza is one of Central Europe's significant rivers, flowing through several countries including Hungary before joining the Danube.
  • E. Eger River
    The Eger River is a watercourse in Central Europe that flows through parts of Germany and the Czech Republic, serving as a tributary of the Elbe 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9cd0877c81909fde1989d946aae9 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af80358881909cdd91f2aed33ef6 completed April 5, 2026, 12:40 a.m.
Created at: March 30, 2026, 8:16 p.m.