Triple

T19705922
Position Surface form Disambiguated ID Type / Status
Subject Škrip E473212 entity
Predicate nearbySettlement P350 FINISHED
Object Splitska 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: Splitska | Statement: [Škrip, nearbySettlement, Splitska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Splitska
Context triple: [Škrip, nearbySettlement, Splitska]
  • A. Splitska chosen
    Splitska is a small coastal village on the Croatian island of Brač, known for its picturesque bay and traditional Mediterranean character.
  • B. Moravica
    Moravica is a river in central Serbia that serves as a significant left-bank tributary of the West Morava.
  • C. Vukosava
    Vukosava is known in Serbian medieval history as the mother of Saint Prince Lazar, the revered ruler and martyr of the Battle of Kosovo.
  • D. Nišava
    Nišava is a river in southeastern Europe that flows through Bulgaria and Serbia, passing the city of Niš before joining the South Morava River.
  • E. Vlasina
    Vlasina is a river in southeastern Serbia known for flowing from the Vlasina Lake area and joining the South Morava River.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642ba4bd08190b016b8c6664079c4 completed April 20, 2026, 3:14 p.m.
Created at: April 10, 2026, 1:46 p.m.