Triple

T15092091
Position Surface form Disambiguated ID Type / Status
Subject Skaraborg County E360443 entity
Predicate contains P35 FINISHED
Object Tibro
Tibro is a small locality in western Sweden known for its furniture industry and location within the historical province of Västergötland.
E1137642 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: Tibro | Statement: [Skaraborg County, contains, Tibro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tibro
Context triple: [Skaraborg County, contains, Tibro]
  • A. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • B. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • C. Taborio
    Taborio is a village settlement located on the island of Nonouti in the Republic of Kiribati.
  • D. Norén
    Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
  • E. Trysilelva
    Trysilelva is a major river in eastern Norway that flows southward through the Trysil region and continues into Sweden as part of the Klarälven–Göta älv watercourse.
  • 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: Tibro
Triple: [Skaraborg County, contains, Tibro]
Generated description
Tibro is a small locality in western Sweden known for its furniture industry and location within the historical province of Västergötland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tibro
Target entity description: Tibro is a small locality in western Sweden known for its furniture industry and location within the historical province of Västergötland.
  • A. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • B. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • C. Taborio
    Taborio is a village settlement located on the island of Nonouti in the Republic of Kiribati.
  • D. Norén
    Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
  • E. Trysilelva
    Trysilelva is a major river in eastern Norway that flows southward through the Trysil region and continues into Sweden as part of the Klarälven–Göta älv watercourse.
  • 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.