Triple

T23529461
Position Surface form Disambiguated ID Type / Status
Subject Pakoštane E576522 entity
Predicate hasNearbyIsland P970 FINISHED
Object Veliki Školj 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: Veliki Školj | Statement: [Pakoštane, hasNearbyIsland, Veliki Školj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veliki Školj
Context triple: [Pakoštane, hasNearbyIsland, Veliki Školj]
  • A. Veliki Borak
    Veliki Borak is a village located within the Barajevo municipality in the wider Belgrade region of Serbia.
  • B. Velika
    Velika is a coastal village in the Agia municipality of the Larissa regional unit in Greece, known for its long sandy beach and summer tourism.
  • C. Velika
    Velika is a river that serves as a left-bank tributary of the Mura River in Central Europe.
  • D. Velika
    Velika is a municipality in eastern Croatia known for its rural setting and proximity to the Papuk mountain area.
  • E. Velika dolina
    Velika dolina is a large collapsed doline and dramatic karst depression that forms one of the main natural attractions within Slovenia’s Škocjan Caves system.
  • 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.