Triple

T12506687
Position Surface form Disambiguated ID Type / Status
Subject Maros E298965 entity
Predicate alsoKnownAs P39 FINISHED
Object Mures 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: Mures | Statement: [Maros, alsoKnownAs, Mures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mures
Context triple: [Maros, alsoKnownAs, Mures]
  • A. Timiș
    Timiș is a river in Central and Eastern Europe that flows through the Banat region of Romania and Serbia before joining the Danube.
  • B. Arieș River
    The Arieș River is a significant river in western Romania that flows through the Apuseni Mountains and the historical region of Transylvania.
  • C. 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.
  • D. 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.
  • E. Olt River
    The Olt River is one of Romania’s longest and most significant rivers, flowing southward through Transylvania and Wallachia before joining the Danube.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541ace208190a5149b6f18fa196d completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb63c80048190be87b41cdd4ac775 completed May 7, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:57 p.m.