Triple

T612747
Position Surface form Disambiguated ID Type / Status
Subject Gdynia E12134 entity
Predicate hasDistrict P459 FINISHED
Object Redłowo
Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
E76950 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: Redłowo | Statement: [Gdynia, hasDistrict, Redłowo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Redłowo
Context triple: [Gdynia, hasDistrict, Redłowo]
  • A. Żegota
    Żegota was a clandestine Polish World War II organization dedicated to rescuing and aiding Jews under Nazi occupation.
  • B. Zułów
    Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
  • C. Kutyna
    Kutyna is the surname of Donald J. Kutyna, a U.S. Air Force general known for his role in the investigation of the Space Shuttle Challenger disaster.
  • D. Sluha Narodu
    Sluha Narodu is a Ukrainian political party founded around Volodymyr Zelenskyy and named after his popular satirical TV series about an everyman who becomes president.
  • E. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • 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: Redłowo
Triple: [Gdynia, hasDistrict, Redłowo]
Generated description
Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Redłowo
Target entity description: Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
  • A. Żegota
    Żegota was a clandestine Polish World War II organization dedicated to rescuing and aiding Jews under Nazi occupation.
  • B. Zułów
    Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
  • C. Kutyna
    Kutyna is the surname of Donald J. Kutyna, a U.S. Air Force general known for his role in the investigation of the Space Shuttle Challenger disaster.
  • D. Sluha Narodu
    Sluha Narodu is a Ukrainian political party founded around Volodymyr Zelenskyy and named after his popular satirical TV series about an everyman who becomes president.
  • E. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e08dbf88190ab050078a63e266b completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5554937a081909967f5298dbe1082 completed March 2, 2026, 9:15 a.m.
NEDg Description generation batch_69a555c1f9b88190a2bd85c41fcb6c28 completed March 2, 2026, 9:17 a.m.
NED2 Entity disambiguation (via description) batch_69a55841f3448190823d3bb5361077ab completed March 2, 2026, 9:28 a.m.
Created at: March 1, 2026, 7:35 p.m.