Triple

T12620404
Position Surface form Disambiguated ID Type / Status
Subject Mieresch E301362 entity
Predicate hasAlternativeName P39 FINISHED
Object Mureș E52991 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: Mureș | Statement: [Mieresch, hasAlternativeName, Mureș]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mureș
Context triple: [Mieresch, hasAlternativeName, Mureș]
  • A. Mureș River chosen
    The Mureș River is a significant Central European waterway that flows through Transylvania and western Romania before joining the Tisza River in Hungary.
  • B. Timiș River
    The Timiș River is a major watercourse in western Romania and northern Serbia that flows through the Banat region before joining the Danube.
  • C. Arieș River
    The Arieș River is a significant river in western Romania that flows through the Apuseni Mountains and the historical region of Transylvania.
  • D. Timiș
    Timiș is a river in Central and Eastern Europe that flows through the Banat region of Romania and Serbia before joining the Danube.
  • E. Argeș River
    The Argeș River is a major river in southern Romania that flows through the Carpathian foothills toward the Danube, passing important cities such as Pitești along its course.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c75c9c819092265ebc2b39f21d completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3cf630a8819094455fc45a815b83 completed May 8, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:13 p.m.