Triple

T17814722
Position Surface form Disambiguated ID Type / Status
Subject Laxå Municipality E444805 entity
Predicate seat P75 FINISHED
Object Laxå
Laxå is a small locality in Örebro County, Sweden, known primarily as the administrative and population center of Laxå Municipality.
 E1290108 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: Laxå | Statement: [Laxå Municipality, seat, Laxå]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laxå
Context triple: [Laxå Municipality, seat, Laxå]
  • A. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • B. Bollnäs
    Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
  • C. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • D. Fagersjö
    Fagersjö is a residential district in southern Stockholm, Sweden, known for its proximity to lakes and green areas.
  • E. Hovsjö
    Hovsjö is a residential district in the city of Södertälje, Sweden, known for its large-scale housing estates and diverse population.
  • 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: Laxå
Triple: [Laxå Municipality, seat, Laxå]
Generated description
Laxå is a small locality in Örebro County, Sweden, known primarily as the administrative and population center of Laxå Municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laxå
Target entity description: Laxå is a small locality in Örebro County, Sweden, known primarily as the administrative and population center of Laxå Municipality.
  • A. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • B. Bollnäs
    Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
  • C. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • D. Fagersjö
    Fagersjö is a residential district in southern Stockholm, Sweden, known for its proximity to lakes and green areas.
  • E. Hovsjö
    Hovsjö is a residential district in the city of Södertälje, Sweden, known for its large-scale housing estates and diverse population.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887e80688190a2ac3308b0e815c6 completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff643ca08190a427b7cabfd91dab completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a0303b3b4c881908960293a5985d8c7 completed May 12, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_6a030408cebc8190835c005a5f380793 completed May 12, 2026, 10:42 a.m.
Created at: April 10, 2026, 10:14 a.m.