Triple

T13182196
Position Surface form Disambiguated ID Type / Status
Subject Cres E313755 entity
Predicate connectedByFerryTo P1831 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: [Cres, connectedByFerryTo, Krk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krk
Context triple: [Cres, connectedByFerryTo, 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. Krka Polska
    Krka Polska is the Polish subsidiary of the international pharmaceutical company Krka, responsible for marketing and distributing its medicines and health products in Poland.
  • C. Krka Slovensko
    Krka Slovensko is the Slovak subsidiary of the international pharmaceutical company Krka, responsible for marketing and distributing its medicines and health products in Slovakia.
  • D. 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.
  • E. Krka Deutschland
    Krka Deutschland is the German subsidiary of the international pharmaceutical company Krka, responsible for marketing and distributing its medicines in Germany.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c490ed081908ea54edb25c3de90 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5f307408190afd0df16a417c456 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:15 p.m.