Triple

T400838
Position Surface form Disambiguated ID Type / Status
Subject Halden E9275 entity
Predicate hasTwinTown P919 FINISHED
Object Skarżysko-Kamienna
Skarżysko-Kamienna is a town in south-central Poland known for its industrial heritage and location in the Świętokrzyskie Voivodeship.
 E50827 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: Skarżysko-Kamienna | Statement: [Halden, hasTwinTown, Skarżysko-Kamienna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skarżysko-Kamienna
Context triple: [Halden, hasTwinTown, Skarżysko-Kamienna]
  • A. Chrzanów
    Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
  • B. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • C. Bochnia
    Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
  • D. Nowy Sącz
    Nowy Sącz is a historic city in southern Poland known for its well-preserved Old Town, cultural heritage, and role as a local economic and administrative center.
  • E. Wadowice
    Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
  • 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: Skarżysko-Kamienna
Triple: [Halden, hasTwinTown, Skarżysko-Kamienna]
Generated description
Skarżysko-Kamienna is a town in south-central Poland known for its industrial heritage and location in the Świętokrzyskie Voivodeship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skarżysko-Kamienna
Target entity description: Skarżysko-Kamienna is a town in south-central Poland known for its industrial heritage and location in the Świętokrzyskie Voivodeship.
  • A. Chrzanów
    Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
  • B. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • C. Bochnia
    Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
  • D. Nowy Sącz
    Nowy Sącz is a historic city in southern Poland known for its well-preserved Old Town, cultural heritage, and role as a local economic and administrative center.
  • E. Wadowice
    Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8e655c819081eff85c0ef55fa5 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a410410c108190990d4d5ef2e7ff61 completed March 1, 2026, 10:09 a.m.
NEDg Description generation batch_69a410ce17ac8190a3ac2325e36cf6b3 completed March 1, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_69a41125951c8190accbf273ef677206 completed March 1, 2026, 10:12 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.