Triple

T114069
Position Surface form Disambiguated ID Type / Status
Subject Lesser Poland Voivodeship E2305 entity
Predicate containsTown P847 FINISHED
Object Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
 E23073 NE FINISHED

How this triple was built (4 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: Skawina | Statement: [Lesser Poland Voivodeship, containsTown, Skawina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skawina
Context triple: [Lesser Poland Voivodeship, containsTown, Skawina]
  • A. Sucha Beskidzka
    Sucha Beskidzka is a small historic town in southern Poland, known for its picturesque Beskid mountain setting and its Renaissance-style castle.
  • B. Olkusz
    Olkusz is a historic town in southern Poland known for its medieval silver and lead mining heritage and well-preserved Old Town.
  • C. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • D. Wieliczka
    Wieliczka is a historic town in southern Poland best known for its UNESCO-listed medieval salt mine, one of the country’s major tourist attractions.
  • E. Beskid Sądecki
    Beskid Sądecki is a mountain range in southern Poland that forms part of the Western Beskids, known for its forested peaks, spa towns, and hiking trails.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Skawina
Triple: [Lesser Poland Voivodeship, containsTown, Skawina]
Generated description
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skawina
Target entity description: Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • A. Sucha Beskidzka
    Sucha Beskidzka is a small historic town in southern Poland, known for its picturesque Beskid mountain setting and its Renaissance-style castle.
  • B. Olkusz
    Olkusz is a historic town in southern Poland known for its medieval silver and lead mining heritage and well-preserved Old Town.
  • C. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • D. Wieliczka
    Wieliczka is a historic town in southern Poland best known for its UNESCO-listed medieval salt mine, one of the country’s major tourist attractions.
  • E. Beskid Sądecki
    Beskid Sądecki is a mountain range in southern Poland that forms part of the Western Beskids, known for its forested peaks, spa towns, and hiking trails.
  • F. None of above. chosen

Provenance (5 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a25b800d08819099a44429d5c82c68 completed Feb. 28, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2fa794c808190acf50a7eb90a012a completed Feb. 28, 2026, 2:23 p.m.
NEDg Description generation batch_69a2fae7ddac81909c3c41a2965ce637 completed Feb. 28, 2026, 2:25 p.m.
NED2 Entity disambiguation (via description) batch_69a2fb7569908190a054bb840007a5b7 completed Feb. 28, 2026, 2:28 p.m.
Created at: Feb. 28, 2026, 2:20 a.m.