Triple

T5704928
Position Surface form Disambiguated ID Type / Status
Subject Krk Island E125760 entity
Predicate largestTown P235 FINISHED
Object Krk E104257 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: Krk | Statement: [Krk Island, largestTown, Krk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krk
Context triple: [Krk Island, largestTown, Krk]
  • A. Krk chosen
    Krk is a large Adriatic Sea island in the northern part of Croatia, known for its historic towns, beaches, and popular tourist resorts.
  • B. Kras
    Kras is a karst limestone plateau region in southwestern Slovenia and northeastern Italy, renowned for its distinctive caves, sinkholes, and underground rivers that gave the term "karst" to geology.
  • C. Kraljevica
    Kraljevica is a coastal town in western Croatia known for its historic castles and shipyard on the Adriatic Sea.
  • D. Račak
    Račak is a village in Kosovo best known internationally as the site of the 1999 Račak massacre, a pivotal event in the Kosovo conflict.
  • E. Gorski Kotar
    Gorski Kotar is a mountainous, heavily forested region in western Croatia known for its rugged landscapes, rich biodiversity, and outdoor recreation opportunities.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024585d14819098ec34fd5a858836 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a159077081909114b09f16ad2a1a completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:45 p.m.