Triple

T1543701
Position Surface form Disambiguated ID Type / Status
Subject Gävle Municipality E32927 entity
Predicate hasUrbanArea P316 FINISHED
Object Bergby
Bergby is a small urban locality in eastern Sweden situated within Gävle Municipality in Gävleborg County.
E176290 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: Bergby | Statement: [Gävle Municipality, hasUrbanArea, Bergby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergby
Context triple: [Gävle Municipality, hasUrbanArea, Bergby]
  • A. Smedby
    Smedby is a residential locality in Sweden situated within Upplands Väsby Municipality, north of Stockholm.
  • B. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • C. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • D. Blomstedt
    Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
  • E. Enebyberg
    Enebyberg is a residential suburban area in the northern part of the Stockholm urban region in Sweden.
  • 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: Bergby
Triple: [Gävle Municipality, hasUrbanArea, Bergby]
Generated description
Bergby is a small urban locality in eastern Sweden situated within Gävle Municipality in Gävleborg County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bergby
Target entity description: Bergby is a small urban locality in eastern Sweden situated within Gävle Municipality in Gävleborg County.
  • A. Smedby
    Smedby is a residential locality in Sweden situated within Upplands Väsby Municipality, north of Stockholm.
  • B. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • C. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • D. Blomstedt
    Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
  • E. Enebyberg
    Enebyberg is a residential suburban area in the northern part of the Stockholm urban region in Sweden.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9084140f0819098c81d295d08d480 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad309baebc81908240a0370bad9935 completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad3117b49881908916e7137f8b655c completed March 8, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69ad3179b0148190b69b16b5d2051ece completed March 8, 2026, 8:21 a.m.
Created at: March 4, 2026, 7:26 p.m.