Triple

T23313772
Position Surface form Disambiguated ID Type / Status
Subject Northern Croatia E590648 entity
Predicate majorRiver P165 FINISHED
Object Mura NE NERFINISHED

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: Mura | Statement: [Northern Croatia, majorRiver, Mura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mura
Context triple: [Northern Croatia, majorRiver, Mura]
  • A. Mura
    Mura is a Starfleet officer serving aboard the USS Titan-A in the Star Trek universe.
  • B. Mura chosen
    The Mura is a Central European river that flows through Austria, Slovenia, and Croatia before joining the Drava River.
  • C. Mura
    Mura is a small historic village in the Bages comarca of Catalonia, Spain, known for its well-preserved medieval architecture and scenic natural surroundings.
  • D. Murau
    Murau is a historic small town in the Austrian Alps known for its medieval architecture, timber industry, and popular nearby ski and hiking areas.
  • E. Goura
    Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1977ee5d08190a9519d7867d6bef9 completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:06 p.m.