Triple

T4912461
Position Surface form Disambiguated ID Type / Status
Subject Uppland E110264 entity
Predicate contains P35 FINISHED
Object Norrtälje
Norrtälje is a coastal town in eastern Sweden known for its well-preserved wooden architecture and role as a popular summer destination in the Stockholm archipelago region.
 E479132 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: Norrtälje | Statement: [Uppland, contains, Norrtälje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Norrtälje
Context triple: [Uppland, contains, Norrtälje]
  • A. Strängnäs
    Strängnäs is a historic Swedish town known for its medieval cathedral and picturesque location on the shores of Lake Mälaren.
  • B. Bollnäs
    Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
  • C. Kyrkslätt
    Kyrkslätt is the Swedish name for Kirkkonummi, a coastal municipality in southern Finland located just west of Helsinki.
  • D. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • E. Mönsterås
    Mönsterås is a small coastal town and municipality in Kalmar County, southeastern Sweden, known for its Baltic Sea shoreline and traditional Swedish countryside.
  • 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: Norrtälje
Triple: [Uppland, contains, Norrtälje]
Generated description
Norrtälje is a coastal town in eastern Sweden known for its well-preserved wooden architecture and role as a popular summer destination in the Stockholm archipelago region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Norrtälje
Target entity description: Norrtälje is a coastal town in eastern Sweden known for its well-preserved wooden architecture and role as a popular summer destination in the Stockholm archipelago region.
  • A. Strängnäs
    Strängnäs is a historic Swedish town known for its medieval cathedral and picturesque location on the shores of Lake Mälaren.
  • B. Bollnäs
    Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
  • C. Kyrkslätt
    Kyrkslätt is the Swedish name for Kirkkonummi, a coastal municipality in southern Finland located just west of Helsinki.
  • D. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • E. Mönsterås
    Mönsterås is a small coastal town and municipality in Kalmar County, southeastern Sweden, known for its Baltic Sea shoreline and traditional Swedish countryside.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9c32148190a940a3733ecd1898 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fe7a0f48190b666202a97b32c7d completed March 21, 2026, 10:16 a.m.
NEDg Description generation batch_69be70b15c508190bcd723862b8e9633 completed March 21, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69be7139a288819087598a7da8c6ad42 completed March 21, 2026, 10:21 a.m.
Created at: March 20, 2026, 1:29 p.m.