Triple

T8808879
Position Surface form Disambiguated ID Type / Status
Subject Nyland E209603 entity
Predicate containsCityHistorically P3786 FINISHED
Object Borgå
Borgå is a historic coastal city in southern Finland, known in Finnish as Porvoo and noted for its well-preserved wooden old town and medieval cathedral.
 E759499 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: Borgå | Statement: [Nyland, containsCityHistorically, Borgå]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Borgå
Context triple: [Nyland, containsCityHistorically, Borgå]
  • A. Vågå
    Vågå is a rural municipality in Innlandet county, Norway, known for its traditional farming landscape, historic stave church, and proximity to the Jotunheimen mountain area.
  • B. Bålsta
    Bålsta is a locality in Uppsala County, Sweden, known as the main urban center of Håbo Municipality and a commuter town within the Greater Stockholm region.
  • C. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • D. Risberg
    Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
  • E. Pajala
    Pajala is a small town in northern Sweden’s Lapland region, known for its remote Arctic setting and as the backdrop of several works by author Mikael Niemi.
  • 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: Borgå
Triple: [Nyland, containsCityHistorically, Borgå]
Generated description
Borgå is a historic coastal city in southern Finland, known in Finnish as Porvoo and noted for its well-preserved wooden old town and medieval cathedral.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Borgå
Target entity description: Borgå is a historic coastal city in southern Finland, known in Finnish as Porvoo and noted for its well-preserved wooden old town and medieval cathedral.
  • A. Vågå
    Vågå is a rural municipality in Innlandet county, Norway, known for its traditional farming landscape, historic stave church, and proximity to the Jotunheimen mountain area.
  • B. Bålsta
    Bålsta is a locality in Uppsala County, Sweden, known as the main urban center of Håbo Municipality and a commuter town within the Greater Stockholm region.
  • C. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • D. Risberg
    Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
  • E. Pajala
    Pajala is a small town in northern Sweden’s Lapland region, known for its remote Arctic setting and as the backdrop of several works by author Mikael Niemi.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fd4cbec8190a929d4e60da8ad65 completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6fa0e4308190bd01c2d107c8c02d completed April 3, 2026, 7:43 a.m.
NEDg Description generation batch_69cf718a6f2c81908f8b8d08a1437749 completed April 3, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_69cf7275fea08190b8999fb30663ff17 completed April 3, 2026, 7:55 a.m.
Created at: March 30, 2026, 6:45 p.m.