Triple

T1945113
Position Surface form Disambiguated ID Type / Status
Subject Warmia-Masuria region E42042 entity
Predicate hasMajorCity P316 FINISHED
Object Markusy
Markusy is a village in northern Poland located in the Warmian-Masurian Voivodeship.
E222334 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: Markusy | Statement: [Warmia-Masuria region, hasMajorCity, Markusy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markusy
Context triple: [Warmia-Masuria region, hasMajorCity, Markusy]
  • A. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • B. Olecko
    Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
  • C. Jastarnia
    Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
  • D. Trebsen
    Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
  • E. Kožlany
    Kožlany is a small town in the Czech Republic best known as the birthplace of former Czechoslovak president Edvard Beneš.
  • 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: Markusy
Triple: [Warmia-Masuria region, hasMajorCity, Markusy]
Generated description
Markusy is a village in northern Poland located in the Warmian-Masurian Voivodeship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Markusy
Target entity description: Markusy is a village in northern Poland located in the Warmian-Masurian Voivodeship.
  • A. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • B. Olecko
    Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
  • C. Jastarnia
    Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
  • D. Trebsen
    Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
  • E. Kožlany
    Kožlany is a small town in the Czech Republic best known as the birthplace of former Czechoslovak president Edvard Beneš.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb300af2481908ae359972843c1ef completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae03180a248190a0df96066923728a completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae03b41dcc81909b4439006bdffc64 completed March 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69ae044314188190a7472cf5f8e89f6c completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:36 p.m.