Triple

T14316394
Position Surface form Disambiguated ID Type / Status
Subject Moravian Diet E354966 entity
Predicate seatInCity P29359 FINISHED
Object Brno E47149 NE FINISHED

How this triple was built (3 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: Brno | Statement: [Moravian Diet, seatInCity, Brno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brno
Context triple: [Moravian Diet, seatInCity, Brno]
  • A. Brno chosen
    Brno is the second-largest city in the Czech Republic, known as a major cultural, educational, and industrial center in the historical region of Moravia.
  • B. Kolín
    Kolín is a historic industrial town and important transport hub on the Elbe River in the Central Bohemian Region of the Czech Republic.
  • C. Ostrava
    Ostrava is a major industrial and cultural city in the northeastern Czech Republic, near the borders with Poland and Slovakia.
  • D. Olomouc
    Olomouc is a historic city in the eastern Czech Republic known for its well-preserved old town, Baroque architecture, and UNESCO-listed Holy Trinity Column.
  • E. Plzeň
    Plzeň is a major city in western Bohemia in the Czech Republic, known for its brewing tradition and industrial heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatInCity
Context triple: [Moravian Diet, seatInCity, Brno]
  • A. seatLocatedIn chosen
    Indicates that a seat is situated within or belongs to a specific location or area.
  • B. seatOftenLocatedIn
    Indicates that one type of seat is commonly or typically found within a particular location or setting.
  • C. seatLocatedAt
    Indicates that a seat is positioned or situated at a specific location or place.
  • D. seatIs
    Indicates that one entity functions as the seat or seating position of another entity.
  • E. seatOn
    Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
  • F. None of above.

Provenance (4 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8838e45c819080ee69dd39e3bd43 completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94a018c88190b4fdbf36687ad973 completed May 8, 2026, 7:45 a.m.
PD Predicate disambiguation batch_69de2a9515f4819081aabf251bca5878 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:12 a.m.