Triple

T15330940
Position Surface form Disambiguated ID Type / Status
Subject Kupa E366528 entity
Predicate alsoKnownAs P39 FINISHED
Object Kolpa E1150072 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: Kolpa | Statement: [Kupa, alsoKnownAs, Kolpa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolpa
Context triple: [Kupa, alsoKnownAs, Kolpa]
  • A. Kolpa chosen
    Kolpa is a river in Central Europe that flows along part of the border between Slovenia and Croatia, known for its scenic landscapes and recreational activities.
  • B. Soła River
    The Soła River is a river in southern Poland that flows through the Lesser Poland and Silesian regions before joining the Vistula.
  • C. Pribidrag
    Pribidrag is a traditional Croatian red wine grape variety, genetically identical to Zinfandel and Primitivo.
  • D. Elbląg River
    The Elbląg River is a river in northern Poland that flows through the city of Elbląg and connects inland waterways with the Vistula Lagoon and the Baltic Sea.
  • E. Pliva River
    The Pliva River is a river in central Bosnia and Herzegovina known for its scenic waterfalls, lakes, and the historic town of Jajce along its course.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff219635b08190a19dcaeb72240379 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:17 a.m.