Triple

T4875587
Position Surface form Disambiguated ID Type / Status
Subject Tisa River E109194 entity
Predicate tributary P415 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: [Tisa River, tributary, Bodrog River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bodrog River
Context triple: [Tisa River, tributary, 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. Bodrog chosen
    Bodrog is a river in Central Europe that flows through Slovakia and Hungary before joining the Tisza River.
  • D. 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.
  • E. Ségny
    Ségny is a small commune in eastern France’s Ain department, situated near the Swiss border in the Auvergne-Rhône-Alpes region.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dba3efc8190adcf8b30490b4984 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fb5da2c8190aeec7d6d11b12b11 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:27 p.m.