Triple

T2663726
Position Surface form Disambiguated ID Type / Status
Subject Plzeň Region E54782 entity
Predicate hasCity P316 FINISHED
Object Rokycany E306948 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: Rokycany | Statement: [Plzeň Region, hasCity, Rokycany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rokycany
Context triple: [Plzeň Region, hasCity, Rokycany]
  • A. Rokycany chosen
    Rokycany is a town in the western Czech Republic that serves as an administrative and economic center within the Plzeň Region.
  • B. Klatovy
    Klatovy is a historic town in the Czech Republic known for its well-preserved architecture, including Baroque churches and catacombs, and its role as a regional administrative center.
  • C. Kutná Hora
    Kutná Hora is a historic Czech town famed for its medieval silver mines, Gothic architecture, and the macabre Sedlec Ossuary.
  • D. Broumov
    Broumov is a historic town in northeastern Bohemia, Czech Republic, known for its Benedictine monastery and proximity to the Broumov Walls sandstone rock formations.
  • E. Harrachov
    Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96b9f1c8190a8a9460ca88a9aaf completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12df6ad908190b0b484b6fd82ffb5 completed March 11, 2026, 8:55 a.m.
Created at: March 6, 2026, 9:54 p.m.