Triple

T9685617
Position Surface form Disambiguated ID Type / Status
Subject Tokaj E234399 entity
Predicate locatedOnRiver P165 FINISHED
Object Bodrog River E234401 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: Bodrog River | Statement: [Tokaj, locatedOnRiver, Bodrog River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bodrog River
Context triple: [Tokaj, locatedOnRiver, 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. 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.
  • C. Zala River
    The Zala River is a major river in western Hungary that drains a large catchment area before emptying into Lake Balaton.
  • D. Bodrog chosen
    Bodrog is a river in Central Europe that flows through Slovakia and Hungary before joining the Tisza River.
  • E. Zagyva River
    The Zagyva River is a watercourse in northern Hungary that flows from the Mátra Mountains through several towns before joining the Tisza 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_69d19f76aca481909692b29cac3c3dc3 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:16 p.m.