Triple

T2877737
Position Surface form Disambiguated ID Type / Status
Subject Lübeck E56916 entity
Predicate twinCity P1072 FINISHED
Object Włocławek E338414 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: Włocławek | Statement: [Lübeck, twinCity, Włocławek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Włocławek
Context triple: [Lübeck, twinCity, Włocławek]
  • A. Włocławek chosen
    Włocławek is a historic city in north-central Poland on the Vistula River, known for its medieval heritage and role as a regional industrial and cultural center.
  • B. Łowicz
    Łowicz is a historic town in central Poland known for its rich folk traditions, distinctive regional costumes, and baroque architecture.
  • C. Inowrocław
    Inowrocław is a historic spa and industrial city in north-central Poland, known for its saltworks and location in the Kuyavia region.
  • D. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • E. Opole
    Opole is a historic city in southwestern Poland, known as one of the country’s oldest urban centers and a regional cultural hub.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe007329c8190b0bc1851c7307124 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69bee04d0b0c81908876ff0d675b93ae completed March 21, 2026, 6:15 p.m.
Created at: March 6, 2026, 10:03 p.m.