Triple

T9746975
Position Surface form Disambiguated ID Type / Status
Subject Władysławowo E236335 entity
Predicate hasSubdivision P747 FINISHED
Object Hallerowo
Hallerowo is a district of the seaside town Władysławowo in northern Poland, known for its coastal location on the Baltic Sea.
 E817941 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: Hallerowo | Statement: [Władysławowo, hasSubdivision, Hallerowo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hallerowo
Context triple: [Władysławowo, hasSubdivision, Hallerowo]
  • A. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • B. Wulfhall
    Wulfhall is a historic English manor in Wiltshire best known as the ancestral home of the Seymour family, including Jane Seymour, third wife of King Henry VIII.
  • C. Hellingly
    Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
  • D. Danderhall
    Danderhall is a village in Midlothian, Scotland, situated just southeast of Edinburgh and functioning largely as a commuter community for the city.
  • E. Umberleigh
    Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
  • 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: Hallerowo
Triple: [Władysławowo, hasSubdivision, Hallerowo]
Generated description
Hallerowo is a district of the seaside town Władysławowo in northern Poland, known for its coastal location on the Baltic Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hallerowo
Target entity description: Hallerowo is a district of the seaside town Władysławowo in northern Poland, known for its coastal location on the Baltic Sea.
  • A. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • B. Wulfhall
    Wulfhall is a historic English manor in Wiltshire best known as the ancestral home of the Seymour family, including Jane Seymour, third wife of King Henry VIII.
  • C. Hellingly
    Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
  • D. Danderhall
    Danderhall is a village in Midlothian, Scotland, situated just southeast of Edinburgh and functioning largely as a commuter community for the city.
  • E. Umberleigh
    Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f677830819096d388b9c798ecd5 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b00d76488190af68cba694dc329c completed April 5, 2026, 12:42 a.m.
NEDg Description generation batch_69d1b0f7a68481909de080dd78f883a8 completed April 5, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1b17bd97c8190b77815db5a6a70d9 completed April 5, 2026, 12:49 a.m.
Created at: March 30, 2026, 8:23 p.m.