Triple

T15372993
Position Surface form Disambiguated ID Type / Status
Subject Mulgi dialect E367594 entity
Predicate hasAlternativeName P39 FINISHED
Object Mulgi murrak E1152515 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: Mulgi murrak | Statement: [Mulgi dialect, hasAlternativeName, Mulgi murrak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mulgi murrak
Context triple: [Mulgi dialect, hasAlternativeName, Mulgi murrak]
  • A. Mulgi murre chosen
    Mulgi murre is a South Estonian dialect traditionally spoken in the historical Mulgi region of southern Estonia.
  • B. MURR
    MURR is a high-power research nuclear reactor at the University of Missouri used for scientific research, isotope production, and educational purposes.
  • C. Mümling
    The Mümling is a river in the Odenwald region of Germany that flows through Hesse and Bavaria before joining the Main.
  • D. Munnik
    Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
  • E. Murge
    Murge is a karst plateau region in southern Italy, spanning parts of Apulia and Basilicata and known for its rocky landscapes, ravines, and traditional rural settlements.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5c1d548190930bfaf0861595ae completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13457418819088232270b092c969 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:18 a.m.