Triple

T9975702
Position Surface form Disambiguated ID Type / Status
Subject Hudiksvall Municipality E196321 entity
Predicate containsSettlement P847 FINISHED
Object Sörforsa
Sörforsa is a small locality in Gävleborg County, Sweden, known as one of the settlements within Hudiksvall Municipality.
E832706 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: Sörforsa | Statement: [Hudiksvall Municipality, containsSettlement, Sörforsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sörforsa
Context triple: [Hudiksvall Municipality, containsSettlement, Sörforsa]
  • A. Söderfors
    Söderfors is a small locality in Uppsala County, Sweden, known historically for its ironworks and scenic location by the Dalälven river.
  • B. Norén
    Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
  • C. Rimforsa
    Rimforsa is a small locality in Kinda Municipality in Östergötland County, Sweden.
  • D. Föra
    Föra is a small locality on the Swedish island of Öland, known for its rural landscape and historic church within Borgholm Municipality.
  • E. Börje
    Börje is a masculine given name of Swedish origin, notably borne by the legendary ice hockey player Börje Salming.
  • 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: Sörforsa
Triple: [Hudiksvall Municipality, containsSettlement, Sörforsa]
Generated description
Sörforsa is a small locality in Gävleborg County, Sweden, known as one of the settlements within Hudiksvall Municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sörforsa
Target entity description: Sörforsa is a small locality in Gävleborg County, Sweden, known as one of the settlements within Hudiksvall Municipality.
  • A. Söderfors
    Söderfors is a small locality in Uppsala County, Sweden, known historically for its ironworks and scenic location by the Dalälven river.
  • B. Norén
    Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
  • C. Rimforsa
    Rimforsa is a small locality in Kinda Municipality in Östergötland County, Sweden.
  • D. Föra
    Föra is a small locality on the Swedish island of Öland, known for its rural landscape and historic church within Borgholm Municipality.
  • E. Börje
    Börje is a masculine given name of Swedish origin, notably borne by the legendary ice hockey player Börje Salming.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb84b47308190aa2f94fa7320cdc3 completed April 2, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23de601f0819096004bf60ffa2d2c completed April 5, 2026, 10:48 a.m.
NEDg Description generation batch_69d241e666a0819087061bf8af397131 completed April 5, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69d24283caa481908d794ea2cd4f9db3 completed April 5, 2026, 11:07 a.m.
Created at: March 30, 2026, 8:48 p.m.