Triple

T10229717
Position Surface form Disambiguated ID Type / Status
Subject Kronoberg County E243306 entity
Predicate contains P35 FINISHED
Object Tingsryd
Tingsryd is a small locality and municipality in southern Sweden known for its rural landscapes, lakes, and traditional Swedish countryside character.
E856704 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: Tingsryd | Statement: [Kronoberg County, contains, Tingsryd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tingsryd
Context triple: [Kronoberg County, contains, Tingsryd]
  • A. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • B. Lindesberg
    Lindesberg is a small historic town in central Sweden known for its mining heritage and lakeside setting.
  • C. Ronneby
    Ronneby is a historic town in southern Sweden known for its well-preserved wooden architecture, spa traditions, and scenic location in Blekinge County.
  • D. Strömstad
    Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
  • E. Kyrkslätt
    Kyrkslätt is the Swedish name for Kirkkonummi, a coastal municipality in southern Finland located just west of Helsinki.
  • 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: Tingsryd
Triple: [Kronoberg County, contains, Tingsryd]
Generated description
Tingsryd is a small locality and municipality in southern Sweden known for its rural landscapes, lakes, and traditional Swedish countryside character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tingsryd
Target entity description: Tingsryd is a small locality and municipality in southern Sweden known for its rural landscapes, lakes, and traditional Swedish countryside character.
  • A. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • B. Lindesberg
    Lindesberg is a small historic town in central Sweden known for its mining heritage and lakeside setting.
  • C. Ronneby
    Ronneby is a historic town in southern Sweden known for its well-preserved wooden architecture, spa traditions, and scenic location in Blekinge County.
  • D. Strömstad
    Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
  • E. Kyrkslätt
    Kyrkslätt is the Swedish name for Kirkkonummi, a coastal municipality in southern Finland located just west of Helsinki.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1fcb1d081908173033594a6bfc9 completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d74fdc1880819094a501602b64d8b6 completed April 9, 2026, 7:06 a.m.
NEDg Description generation batch_69d751122d208190abaa4fd72a07643b completed April 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69d751d4aa908190a825322ebf0066af completed April 9, 2026, 7:14 a.m.
Created at: April 6, 2026, 11:19 a.m.