Triple

T17481474
Position Surface form Disambiguated ID Type / Status
Subject Krkonoše National Park E425669 entity
Predicate near P350 FINISHED
Object Špindlerův Mlýn E246687 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: Špindlerův Mlýn | Statement: [Krkonoše National Park, near, Špindlerův Mlýn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Špindlerův Mlýn
Context triple: [Krkonoše National Park, near, Špindlerův Mlýn]
  • A. Špindlerův Mlýn chosen
    Špindlerův Mlýn is a popular Czech mountain resort town in the Krkonoše range, known for its skiing, hiking, and alpine tourism.
  • B. Žamberk
    Žamberk is a small historic town in the Pardubice Region of the Czech Republic, known for its picturesque setting in the Orlické Foothills and well-preserved architecture.
  • C. Slezskoostravský hrad
    Slezskoostravský hrad is a historic castle in Ostrava, Czech Republic, notable for its medieval origins and later reconstruction as a cultural and tourist landmark.
  • D. 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.
  • E. Slaný
    Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bfd75481908c20bc2c1cbff593 completed April 19, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01b8320f488190a4eacfb628bb1dfd completed May 11, 2026, 11:06 a.m.
Created at: April 10, 2026, 5:48 a.m.