Triple

T1244538
Position Surface form Disambiguated ID Type / Status
Subject Pomeranian Voivodeship E26733 entity
Predicate containsCity P294 FINISHED
Object Władysławowo
Władysławowo is a Polish seaside town and popular tourist resort on the Baltic coast, known for its beaches and fishing port.
 E236335 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: Władysławowo | Statement: [Pomeranian Voivodeship, containsCity, Władysławowo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Władysławowo
Context triple: [Pomeranian Voivodeship, containsCity, Władysławowo]
  • A. Staszów
    Staszów is a historic town in south-central Poland known for its medieval origins and location within the Świętokrzyskie region.
  • B. Orłowo
    Orłowo is a coastal district of Gdynia in northern Poland, known for its scenic cliffs, pier, and Baltic Sea beaches.
  • C. Radziejowa
    Radziejowa is a prominent mountain peak in southern Poland, known for its forested slopes, scenic views, and status as the highest summit of the Beskid Sądecki range.
  • D. Mierzanowo
    Mierzanowo is a village in Poland notable as the birthplace of Ignacy Mościcki, the country's pre-World War II president and chemist.
  • E. Wejherowo
    Wejherowo is a historic town in northern Poland known for its baroque Calvary complex and role as a local cultural 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: Władysławowo
Triple: [Pomeranian Voivodeship, containsCity, Władysławowo]
Generated description
Władysławowo is a Polish seaside town and popular tourist resort on the Baltic coast, known for its beaches and fishing port.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Władysławowo
Target entity description: Władysławowo is a Polish seaside town and popular tourist resort on the Baltic coast, known for its beaches and fishing port.
  • A. Staszów
    Staszów is a historic town in south-central Poland known for its medieval origins and location within the Świętokrzyskie region.
  • B. Orłowo
    Orłowo is a coastal district of Gdynia in northern Poland, known for its scenic cliffs, pier, and Baltic Sea beaches.
  • C. Radziejowa
    Radziejowa is a prominent mountain peak in southern Poland, known for its forested slopes, scenic views, and status as the highest summit of the Beskid Sądecki range.
  • D. Mierzanowo
    Mierzanowo is a village in Poland notable as the birthplace of Ignacy Mościcki, the country's pre-World War II president and chemist.
  • E. Wejherowo
    Wejherowo is a historic town in northern Poland known for its baroque Calvary complex and role as a local cultural 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6498948190b30b09d845d67ac4 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae51572d808190b6e2e7a8a3b597f0 completed March 9, 2026, 4:49 a.m.
NEDg Description generation batch_69ae521c7810819086b88bb5f062597e completed March 9, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae52e79c788190bbe6eb5baba08a71 completed March 9, 2026, 4:56 a.m.
Created at: March 1, 2026, 7:47 p.m.