Triple

T1622725
Position Surface form Disambiguated ID Type / Status
Subject Lommel SK E35068 entity
Predicate location P40 FINISHED
Object Lommel
Lommel is a municipality and city in the Belgian province of Limburg, known for its extensive forests, sand dunes, and glass industry.
E185115 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: Lommel | Statement: [Lommel SK, location, Lommel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lommel
Context triple: [Lommel SK, location, Lommel]
  • A. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Kemsing
    Kemsing is a village and civil parish in the Sevenoaks District of Kent, England, known for its rural character and location near the North Downs.
  • D. Blomstedt
    Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
  • E. Heinsius
    Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
  • 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: Lommel
Triple: [Lommel SK, location, Lommel]
Generated description
Lommel is a municipality and city in the Belgian province of Limburg, known for its extensive forests, sand dunes, and glass industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lommel
Target entity description: Lommel is a municipality and city in the Belgian province of Limburg, known for its extensive forests, sand dunes, and glass industry.
  • A. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Molenaar
    Molenaar is a Dutch occupational surname meaning "miller," referring to someone who operates or works at a mill.
  • D. Kemsing
    Kemsing is a village and civil parish in the Sevenoaks District of Kent, England, known for its rural character and location near the North Downs.
  • E. Blomstedt
    Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909cf3c7481909ddbe6a6596bb0c8 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58ccc80c819088ecd91f0a99a247 completed March 8, 2026, 11:09 a.m.
NEDg Description generation batch_69ad5a619da481908d66837ea94c91cf completed March 8, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_69ad5b41a68c8190ba293d8e8c35521b completed March 8, 2026, 11:19 a.m.
Created at: March 4, 2026, 7:28 p.m.