Triple

T502178
Position Surface form Disambiguated ID Type / Status
Subject Ignacy Mościcki E10424 entity
Predicate placeOfBirth P1 FINISHED
Object Mierzanowo
Mierzanowo is a village in Poland notable as the birthplace of Ignacy Mościcki, the country's pre-World War II president and chemist.
 E62395 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: Mierzanowo | Statement: [Ignacy Mościcki, placeOfBirth, Mierzanowo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mierzanowo
Context triple: [Ignacy Mościcki, placeOfBirth, Mierzanowo]
  • A. Myślenice
    Myślenice is a historic town in southern Poland known for its picturesque setting near the Carpathian foothills and its role as a local cultural and tourist 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. Płońsk
    Płońsk is a historic town in north-central Poland, known as the birthplace of Israel’s first prime minister, David Ben-Gurion.
  • D. Wadowice
    Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
  • E. Chrzanów
    Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
  • 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: Mierzanowo
Triple: [Ignacy Mościcki, placeOfBirth, Mierzanowo]
Generated description
Mierzanowo is a village in Poland notable as the birthplace of Ignacy Mościcki, the country's pre-World War II president and chemist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mierzanowo
Target entity description: Mierzanowo is a village in Poland notable as the birthplace of Ignacy Mościcki, the country's pre-World War II president and chemist.
  • A. Myślenice
    Myślenice is a historic town in southern Poland known for its picturesque setting near the Carpathian foothills and its role as a local cultural and tourist 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. Płońsk
    Płońsk is a historic town in north-central Poland, known as the birthplace of Israel’s first prime minister, David Ben-Gurion.
  • D. Wadowice
    Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
  • E. Chrzanów
    Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1339748819089f89691a1698dd9 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a485456cfc81908fab6c5d9548ebb9 completed March 1, 2026, 6:28 p.m.
NEDg Description generation batch_69a485da078c819098bc4a2bca818d5e completed March 1, 2026, 6:30 p.m.
NED2 Entity disambiguation (via description) batch_69a486416de48190864ed2874556f5ef completed March 1, 2026, 6:32 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.