Triple

T16913855
Position Surface form Disambiguated ID Type / Status
Subject LKPR E410270 entity
Predicate locatedNear P294 FINISHED
Object Ruzyně NE ONNED1

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: Ruzyně | Statement: [LKPR, locatedNear, Ruzyně]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruzyně
Context triple: [LKPR, locatedNear, Ruzyně]
  • A. Ruzyně chosen
    Ruzyně is a district in the western part of Prague, Czech Republic, best known as the location of the city’s main international airport.
  • B. Říčany
    Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
  • C. Rumburk
    Rumburk is a small historic town in the northern Czech Republic, near the German border, known for its Baroque architecture and location in the Šluknov Hook region.
  • D. Svitavy
    Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
  • E. Prachatice
    Prachatice is a historic town in the Czech Republic known for its well-preserved medieval center and former importance as a stop on the Golden Salt Trade Route.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3f1a2c8190a512ccc09a080eb4 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01954069e0819087fab0a782a83f39 finalizing May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:30 a.m.