Triple

T16151888
Position Surface form Disambiguated ID Type / Status
Subject Murinsel E391930 entity
Predicate river P165 FINISHED
Object Mur E728314 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: Mur | Statement: [Murinsel, river, Mur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mur
Context triple: [Murinsel, river, Mur]
  • A. Mur chosen
    The Mur is a major river in Central Europe that flows through Austria, Slovenia, and Croatia before joining the Drava.
  • B. Murck
    Murck is a character in Bertolt Brecht’s early expressionist play "Drums in the Night," which explores post–World War I disillusionment and social unrest.
  • C. Die
    Die is a historic commune in southeastern France known for its medieval architecture and as a center of the Clairette de Die sparkling wine region.
  • D. Mort
    Mort is a comic fantasy novel in Terry Pratchett’s Discworld series that follows a young apprentice to Death himself.
  • E. Mort
    Mort is a masculine given name, often used as a short form of Morton or Mortimer.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d981950819087fdacc7879dca97 completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7ac6d1c8190a8553ceb5ec06119 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.