Triple

T13501713
Position Surface form Disambiguated ID Type / Status
Subject Učka E320908 entity
Predicate hasPeak P8205 FINISHED
Object Vojak E314825 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: Vojak | Statement: [Učka, hasPeak, Vojak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vojak
Context triple: [Učka, hasPeak, Vojak]
  • A. Vojak chosen
    Vojak is the highest peak of the Učka mountain range in Croatia, offering panoramic views over the Istrian peninsula and the Adriatic Sea.
  • B. Soldier
    "Soldier" is a pop-rock song by American singer-songwriter Gavin DeGraw, known for its heartfelt lyrics and soulful vocal delivery.
  • C. Soldier
    "Soldier" is a politically charged neo-soul/hip-hop track by Erykah Badu from her album *New Amerykah Part One (4th World War)*, addressing themes of social struggle and resistance.
  • D. Soldier
    "Soldier" is a popular song by the Nigerian gospel artist Falz, known for its socially conscious lyrics and storytelling style.
  • E. the Soldier
    The Soldier is a secondary figure in Franz Kafka’s short story "In the Penal Colony," representing the unquestioning enforcer of a brutal and dehumanizing execution apparatus.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf50f4a48190a44fc537b78c32fd completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8e69a08190b74f1fecb07dd6e9 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:43 p.m.