Triple

T7639386
Position Surface form Disambiguated ID Type / Status
Subject Colours of Ostrava E172960 entity
Predicate locatedIn P40 FINISHED
Object Vítkovice E173749 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: Vítkovice | Statement: [Colours of Ostrava, locatedIn, Vítkovice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vítkovice
Context triple: [Colours of Ostrava, locatedIn, Vítkovice]
  • A. Dolní Vítkovice industrial complex chosen
    The Dolní Vítkovice industrial complex is a former ironworks and coal-mining site in Ostrava transformed into a major cultural, educational, and industrial-heritage center.
  • B. Reichenberg
    Reichenberg is the former German name for the city of Liberec, a major urban center in the northern Czech Republic near the border with Germany and Poland.
  • C. Zwickau
    Zwickau is a city in the German state of Saxony known historically as an important center of the automotive industry and as the birthplace of composer Robert Schumann.
  • D. Nymburk
    Nymburk is a historic town in the Czech Republic known for its medieval fortifications and location on the Elbe River.
  • E. Kutná Hora
    Kutná Hora is a historic Czech town famed for its medieval silver mines, Gothic architecture, and the macabre Sedlec Ossuary.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facc4b5481908697e662b0991e3f completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a2159cd0819085bfdb8c7694077b completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:57 p.m.