Triple

T19924634
Position Surface form Disambiguated ID Type / Status
Subject Vela Spila E478891 entity
Predicate locatedNear P294 FINISHED
Object Vela Luka 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: Vela Luka | Statement: [Vela Spila, locatedNear, Vela Luka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vela Luka
Context triple: [Vela Spila, locatedNear, Vela Luka]
  • A. Vela Luka chosen
    Vela Luka is a coastal town and popular tourist destination on the western end of the Croatian island of Korčula, known for its scenic bay, maritime heritage, and Mediterranean atmosphere.
  • B. Dubrovina
    Dubrovina is a Russian surname most notably borne by Praskovya Fyodorovna Dubrovina.
  • C. Grajonca
    Grajonca is the original family surname of Wulf Wolodia Grajonca, better known as the American singer and songwriter Bill Graham.
  • D. Otočac
    Otočac is a historic town in central Croatia situated in the Lika region, known for its proximity to the Gacka River and surrounding mountainous landscape.
  • E. Vineta
    Vineta is a legendary medieval Baltic Sea trading city, often associated with the island of Wolin and famed in myth as a wealthy metropolis lost beneath the waves.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c88c548190b9b9eccbdd07d977 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.