Triple

T11534693
Position Surface form Disambiguated ID Type / Status
Subject Trois-Ponts E273515 entity
Predicate hasSubdivision P747 FINISHED
Object Biester
Biester is a locality that forms part of the municipality of Trois-Ponts in the province of Liège, Belgium.
 E931294 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: Biester | Statement: [Trois-Ponts, hasSubdivision, Biester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Biester
Context triple: [Trois-Ponts, hasSubdivision, Biester]
  • A. Bielke
    Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
  • B. Bippen
    Bippen is a rural municipality in Lower Saxony, Germany, situated within the Osnabrück district.
  • C. Welper
    Welper is a district of the town of Hattingen in North Rhine-Westphalia, Germany.
  • D. Bechtsrieth
    Bechtsrieth is a small municipality in the Upper Palatinate region of Bavaria, Germany.
  • E. Maberly
    Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
  • 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: Biester
Triple: [Trois-Ponts, hasSubdivision, Biester]
Generated description
Biester is a locality that forms part of the municipality of Trois-Ponts in the province of Liège, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Biester
Target entity description: Biester is a locality that forms part of the municipality of Trois-Ponts in the province of Liège, Belgium.
  • A. Bielke
    Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
  • B. Bippen
    Bippen is a rural municipality in Lower Saxony, Germany, situated within the Osnabrück district.
  • C. Welper
    Welper is a district of the town of Hattingen in North Rhine-Westphalia, Germany.
  • D. Bechtsrieth
    Bechtsrieth is a small municipality in the Upper Palatinate region of Bavaria, Germany.
  • E. Maberly
    Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839b4bb48190b748ec4119f36c11 completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6858af0d081909078d5862ec3d469 completed April 20, 2026, 7:59 p.m.
NEDg Description generation batch_69e68fd8210c8190a7b0bbd8a50ff6b1 completed April 20, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69e69f12cfcc8190a06e0922c9faa49e completed April 20, 2026, 9:48 p.m.
Created at: April 8, 2026, 9:37 p.m.