Triple

T14124765
Position Surface form Disambiguated ID Type / Status
Subject Cieszyn Piasts E339999 entity
Predicate territoryIncludes P285 FINISHED
Object Skoczów E1010212 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: Skoczów | Statement: [Cieszyn Piasts, territoryIncludes, Skoczów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skoczów
Context triple: [Cieszyn Piasts, territoryIncludes, Skoczów]
  • A. Skoczów chosen
    Skoczów is a historic town in southern Poland’s Silesian Voivodeship, known for its location on the Vistula River and its traditional Silesian character.
  • B. Szczyrk
    Szczyrk is a popular mountain resort town in southern Poland, known for its ski slopes, hiking trails, and scenic location in the Silesian Beskids.
  • C. Karpacz
    Karpacz is a popular mountain resort town in southwestern Poland, known for skiing, hiking, and its location at the foot of Śnieżka in the Sudetes.
  • D. Szczawnica
    Szczawnica is a Polish spa and tourist town in southern Lesser Poland, known for its mineral springs, health resorts, and scenic location in the Pieniny region near the Dunajec River.
  • E. Ustroń ski area
    Ustroń ski area is a popular Polish mountain resort in the Silesian Beskids known for its downhill skiing, scenic slopes, and year-round tourist facilities.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6096976481909dc79066c5165a50 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0a7a7c8190860d8ce47b5f0732 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.