Triple

T7851487
Position Surface form Disambiguated ID Type / Status
Subject Oberkirch E182062 entity
Predicate twinTown P1072 FINISHED
Object Höganäs
Höganäs is a coastal town and municipality in Skåne County in southern Sweden, known for its ceramics industry and scenic location by the Öresund Strait.
 E700035 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: Höganäs | Statement: [Oberkirch, twinTown, Höganäs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Höganäs
Context triple: [Oberkirch, twinTown, Höganäs]
  • A. Sandvik
    Sandvik is a coastal village on the island of Öland in southeastern Sweden, known for its historic windmill and scenic Baltic Sea shoreline.
  • B. Outokumpu
    Outokumpu is a small Finnish town in the North Karelia region, historically known for its copper mining industry.
  • C. Stenstorp
    Stenstorp is a small locality in Västra Götaland County, Sweden, known as the birthplace of Nobel Prize–winning engineer and inventor Nils Gustaf Dalén.
  • D. Trelleborg
    Trelleborg is a coastal town in southern Sweden known as an important ferry port and transport hub near the country’s southernmost point.
  • E. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • 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: Höganäs
Triple: [Oberkirch, twinTown, Höganäs]
Generated description
Höganäs is a coastal town and municipality in Skåne County in southern Sweden, known for its ceramics industry and scenic location by the Öresund Strait.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Höganäs
Target entity description: Höganäs is a coastal town and municipality in Skåne County in southern Sweden, known for its ceramics industry and scenic location by the Öresund Strait.
  • A. Sandvik
    Sandvik is a coastal village on the island of Öland in southeastern Sweden, known for its historic windmill and scenic Baltic Sea shoreline.
  • B. Outokumpu
    Outokumpu is a small Finnish town in the North Karelia region, historically known for its copper mining industry.
  • C. Stenstorp
    Stenstorp is a small locality in Västra Götaland County, Sweden, known as the birthplace of Nobel Prize–winning engineer and inventor Nils Gustaf Dalén.
  • D. Trelleborg
    Trelleborg is a coastal town in southern Sweden known as an important ferry port and transport hub near the country’s southernmost point.
  • E. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18eaac508190bf373b1d50b52e1e completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b0d95748190a202258214dda2ae completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb762eab0881909c5035b3086dfdd9 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb801cc0c8190864d28e199eb5e67 completed March 31, 2026, 12:03 p.m.
Created at: March 30, 2026, 4:51 p.m.