Triple

T15941649
Position Surface form Disambiguated ID Type / Status
Subject Faenza E386577 entity
Predicate twinTown P1072 FINISHED
Object Kresna E506181 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: Kresna | Statement: [Faenza, twinTown, Kresna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kresna
Context triple: [Faenza, twinTown, Kresna]
  • A. Kresna chosen
    Kresna is a small town in southwestern Bulgaria known for its proximity to the scenic Kresna Gorge and the Struma River.
  • B. Iskar River
    The Iskar River is a significant river in Bulgaria that flows south through Sofia before turning north to cut a dramatic gorge through the Balkan Mountains on its way to the Danube.
  • C. Kispiox River
    The Kispiox River is a salmon-rich river in northwestern British Columbia, Canada, known for its steelhead fishing and as part of the Skeena River watershed.
  • D. Krumovitsa River
    The Krumovitsa River is a river in southern Bulgaria that flows through the Eastern Rhodope Mountains before joining the Arda River.
  • E. Angren River
    The Angren River is a waterway in eastern Uzbekistan that flows through the Tashkent Region before joining the Syr Darya.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ce0230819089a20114a755a75a completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffe46d180c81909be66f628d1bdf72 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:53 a.m.