Triple

T23529665
Position Surface form Disambiguated ID Type / Status
Subject Kornati Islands E576527 entity
Predicate hasPart P35 FINISHED
Object Lavsa 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: Lavsa | Statement: [Kornati Islands, hasPart, Lavsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lavsa
Context triple: [Kornati Islands, hasPart, Lavsa]
  • A. Lavsa chosen
    Lavsa is a small, uninhabited island in Croatia’s Adriatic Sea, known for its sheltered bay and clear waters popular with boaters and divers.
  • B. Laza
    Laza is a village located in the Gusar District of northeastern Azerbaijan, known for its mountainous scenery and nearby waterfalls.
  • C. Lavasan
    Lavasan is a wealthy suburban town northeast of Tehran, Iran, known for its villas, mild climate, and popularity as a weekend retreat for the capital’s residents.
  • D. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • E. Lawša
    Lawša is the former name of the town now known as Loja, a historic settlement in northern Peru.
  • 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_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.