Triple

T9638671
Position Surface form Disambiguated ID Type / Status
Subject Sandviken Municipality E233001 entity
Predicate contains P35 FINISHED
Object Storvik
Storvik is a locality in Gävleborg County, Sweden, known historically as a railway junction and small industrial community.
E811430 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: Storvik | Statement: [Sandviken Municipality, contains, Storvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Storvik
Context triple: [Sandviken Municipality, contains, Storvik]
  • A. Gangstad
    Gangstad is a small settlement located within the municipality of Inderøy in Trøndelag county, Norway.
  • B. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • C. Svarstad
    Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
  • D. Flesberg
    Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
  • E. Dragsvik
    Dragsvik is a Finnish military locality known for hosting a key coastal garrison of the Finnish Navy.
  • 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: Storvik
Triple: [Sandviken Municipality, contains, Storvik]
Generated description
Storvik is a locality in Gävleborg County, Sweden, known historically as a railway junction and small industrial community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Storvik
Target entity description: Storvik is a locality in Gävleborg County, Sweden, known historically as a railway junction and small industrial community.
  • A. Gangstad
    Gangstad is a small settlement located within the municipality of Inderøy in Trøndelag county, Norway.
  • B. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • C. Svarstad
    Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
  • D. Flesberg
    Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
  • E. Dragsvik
    Dragsvik is a Finnish military locality known for hosting a key coastal garrison of the Finnish Navy.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b51b08081908e30744607b28953 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18243cfdc81908ecdf039c38de478 completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d182cb723881909f29b6a875e99da1 completed April 4, 2026, 9:29 p.m.
NED2 Entity disambiguation (via description) batch_69d1833692788190990ad426b6502488 completed April 4, 2026, 9:31 p.m.
Created at: March 30, 2026, 8:11 p.m.