Triple

T23529565
Position Surface form Disambiguated ID Type / Status
Subject Šibenik-Knin County E576524 entity
Predicate containsIsland P970 FINISHED
Object Murter 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: Murter | Statement: [Šibenik-Knin County, containsIsland, Murter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murter
Context triple: [Šibenik-Knin County, containsIsland, Murter]
  • A. Killings
    "Killings" is a short story by Andre Dubus that explores themes of grief, revenge, and moral ambiguity, and served as the basis for the film "In the Bedroom."
  • B. Murtede
    Murtede is a civil parish located in the municipality of Cantanhede in Portugal.
  • C. Massacre
    Massacre is an experimental rock band associated with the New York no wave scene, known for its avant-garde, improvisational sound.
  • D. Martirio
    Martirio is one of Bernarda Alba’s emotionally tormented daughters in Federico García Lorca’s tragedy, embodying repressed desire, jealousy, and the suffocating effects of authoritarian family and social norms.
  • E. Slaughter
    Slaughter is an American glam metal band best known for their early 1990s hits like "Up All Night" and "Fly to the Angels."
  • F. None of above. chosen
  • 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ac7646a48190b5dcbaf8c0c194df completed April 29, 2026, 7 a.m.
Created at: April 17, 2026, 6:09 p.m.