Triple

T15912040
Position Surface form Disambiguated ID Type / Status
Subject Olomouc District E385872 entity
Predicate contains P35 FINISHED
Object Šternberk E1175633 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: Šternberk | Statement: [Olomouc District, contains, Šternberk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Šternberk
Context triple: [Olomouc District, contains, Šternberk]
  • A. Šternberk chosen
    Šternberk is a historic town in the Olomouc Region of the Czech Republic, known for its medieval castle and well-preserved old town.
  • B. Schwarzenberg
    Schwarzenberg is the noble family name of a prominent Central European princely house historically influential in Austrian and Bohemian politics and military affairs.
  • C. 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.
  • D. Vamberk
    Vamberk is a Czech town in the Hradec Králové Region renowned for its long tradition of handmade bobbin lace-making.
  • E. Graditz
    Graditz is a locality in Germany known historically as the place where Charles Augustus, Grand Duke of Saxe-Weimar-Eisenach, died.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156601c988190b9bd0cd75897651b completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb05750ac81908860143f4ca26cc7 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.