Triple

T13821768
Position Surface form Disambiguated ID Type / Status
Subject Gąsienicowa Valley E332154 entity
Predicate hasPart P35 FINISHED
Object Hala Gąsienicowa E332155 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: Hala Gąsienicowa | Statement: [Gąsienicowa Valley, hasPart, Hala Gąsienicowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hala Gąsienicowa
Context triple: [Gąsienicowa Valley, hasPart, Hala Gąsienicowa]
  • A. Hala Gąsienicowa chosen
    Hala Gąsienicowa is a picturesque alpine meadow in the Polish Tatra Mountains, popular as a hiking hub and starting point for routes to surrounding peaks and lakes.
  • B. Magurka Radziechowska
    Magurka Radziechowska is a mountain peak in the Silesian Beskids range of southern Poland, popular for hiking and scenic views.
  • C. Magdalena Samozwaniec
    Magdalena Samozwaniec was a Polish writer and satirist known for her humorous prose and sharp social commentary in 20th-century Polish literature.
  • D. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • E. Wasilewska
    Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0284428081908043c55caeefb833 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e60e1c81908d51d723e85e0541 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.