Triple

T9685735
Position Surface form Disambiguated ID Type / Status
Subject Bodrog E234401 entity
Predicate nameInSlovak P25642 FINISHED
Object Bodrog 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 | Statement: [Bodrog, nameInSlovak, Bodrog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bodrog
Context triple: [Bodrog, nameInSlovak, Bodrog]
  • A. Bodrog chosen
    Bodrog is a river in Central Europe that flows through Slovakia and Hungary before joining the Tisza River.
  • B. Ségny
    Ségny is a small commune in eastern France’s Ain department, situated near the Swiss border in the Auvergne-Rhône-Alpes region.
  • C. Bodrogköz
    Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
  • D. 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.
  • E. Dunaharaszti
    Dunaharaszti is a town in central Hungary that functions largely as a suburban residential and industrial area near Budapest.
  • 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_69d269858f648190a9c3b730d37ecf9c completed April 5, 2026, 1:54 p.m.
Created at: March 30, 2026, 8:16 p.m.