Triple

T17766107
Position Surface form Disambiguated ID Type / Status
Subject Hallsberg Municipality E443508 entity
Predicate hasSettlement P1068 FINISHED
Object Östansjö
Östansjö is a small locality in central Sweden situated within Örebro County.
E1286743 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: Östansjö | Statement: [Hallsberg Municipality, hasSettlement, Östansjö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Östansjö
Context triple: [Hallsberg Municipality, hasSettlement, Östansjö]
  • A. Fagersjö
    Fagersjö is a residential district in southern Stockholm, Sweden, known for its proximity to lakes and green areas.
  • B. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • C. Tärnsjö
    Tärnsjö is a small locality in central Sweden known for its rural setting and traditional leather tanning industry.
  • D. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • 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: Östansjö
Triple: [Hallsberg Municipality, hasSettlement, Östansjö]
Generated description
Östansjö is a small locality in central Sweden situated within Örebro County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Östansjö
Target entity description: Östansjö is a small locality in central Sweden situated within Örebro County.
  • A. Fagersjö
    Fagersjö is a residential district in southern Stockholm, Sweden, known for its proximity to lakes and green areas.
  • B. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • C. Tärnsjö
    Tärnsjö is a small locality in central Sweden known for its rural setting and traditional leather tanning industry.
  • D. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fc03e48190a8044e1b40f66f20 completed April 19, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efc14808819099ecbb8a752aff24 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f096fc648190a1ff19f2704a4cef completed May 12, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a02f1d0a4708190bbf51356da7e965e completed May 12, 2026, 9:24 a.m.
Created at: April 10, 2026, 10:11 a.m.