Triple

T170660
Position Surface form Disambiguated ID Type / Status
Subject Székesfehérvár E3113 entity
Predicate hasTwinTown P919 FINISHED
Object Kemi
Kemi is a coastal town in northern Finland known for its port, paper industry, and popular winter attractions like the SnowCastle.
 E22392 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: Kemi | Statement: [Székesfehérvár, hasTwinTown, Kemi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kemi
Context triple: [Székesfehérvár, hasTwinTown, Kemi]
  • A. Sacandaga River
    The Sacandaga River is a major river in upstate New York that drains the southern Adirondacks and flows into the Hudson River, historically important for logging, power generation, and recreation.
  • B. Methil
    Methil is a coastal town in eastern Scotland that forms part of the Levenmouth area on the Firth of Forth.
  • C. Leven
    Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
  • D. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • E. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • 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: Kemi
Triple: [Székesfehérvár, hasTwinTown, Kemi]
Generated description
Kemi is a coastal town in northern Finland known for its port, paper industry, and popular winter attractions like the SnowCastle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kemi
Target entity description: Kemi is a coastal town in northern Finland known for its port, paper industry, and popular winter attractions like the SnowCastle.
  • A. Sacandaga River
    The Sacandaga River is a major river in upstate New York that drains the southern Adirondacks and flows into the Hudson River, historically important for logging, power generation, and recreation.
  • B. Methil
    Methil is a coastal town in eastern Scotland that forms part of the Levenmouth area on the Firth of Forth.
  • C. Leven
    Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
  • D. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • E. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b82bdc81908ebd50fb05d511df completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ee8962a88190b6821e55f435c8b7 completed Feb. 28, 2026, 1:32 p.m.
NEDg Description generation batch_69a2ef062c6c8190b50d1c1102161259 completed Feb. 28, 2026, 1:35 p.m.
NED2 Entity disambiguation (via description) batch_69a2ef8234bc81909449654ee2f4c000 completed Feb. 28, 2026, 1:37 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.