Triple

T15092085
Position Surface form Disambiguated ID Type / Status
Subject Skaraborg County E360443 entity
Predicate contains P35 FINISHED
Object Töreboda
Töreboda is a small locality in western Sweden known for its canal-side setting along the Göta Canal and its role as a regional transport and service hub.
 E1137639 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: Töreboda | Statement: [Skaraborg County, contains, Töreboda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Töreboda
Context triple: [Skaraborg County, contains, Töreboda]
  • A. Torsby
    Torsby is a small town in Värmland County, Sweden, known for its strong motorsport culture and role as a former base for Rally Sweden.
  • B. Thörnberg
    Thörnberg is a Swedish surname most notably associated with professional ice hockey player Martin Thörnberg.
  • C. Arboga
    Arboga is a historic small town in central Sweden known for its medieval heritage and well-preserved old town.
  • D. Torgny
    Torgny is a masculine given name of Scandinavian origin, most notably borne by the Swedish author Torgny Lindgren.
  • E. Strömholm
    Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
  • 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: Töreboda
Triple: [Skaraborg County, contains, Töreboda]
Generated description
Töreboda is a small locality in western Sweden known for its canal-side setting along the Göta Canal and its role as a regional transport and service hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Töreboda
Target entity description: Töreboda is a small locality in western Sweden known for its canal-side setting along the Göta Canal and its role as a regional transport and service hub.
  • A. Torsby
    Torsby is a small town in Värmland County, Sweden, known for its strong motorsport culture and role as a former base for Rally Sweden.
  • B. Thörnberg
    Thörnberg is a Swedish surname most notably associated with professional ice hockey player Martin Thörnberg.
  • C. Arboga
    Arboga is a historic small town in central Sweden known for its medieval heritage and well-preserved old town.
  • D. Torgny
    Torgny is a masculine given name of Scandinavian origin, most notably borne by the Swedish author Torgny Lindgren.
  • E. Strömholm
    Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027925788190b955fdc6626adf7d completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae1f406081909d4925474370da86 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feb2e869808190b691d95531dc7447 completed May 9, 2026, 4:07 a.m.
NED2 Entity disambiguation (via description) batch_69feb3a61e008190aff906cae172a744 completed May 9, 2026, 4:10 a.m.
Created at: April 10, 2026, 3:04 a.m.