Triple

T22010862
Position Surface form Disambiguated ID Type / Status
Subject Beerzelberg E543568 entity
Predicate locatedIn P40 FINISHED
Object Beerzel
Beerzel is a village in the Belgian province of Antwerp, known for its rural character and proximity to the Beerzelberg hill, one of the region’s higher points.
E1513496 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: Beerzel | Statement: [Beerzelberg, locatedIn, Beerzel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beerzel
Context triple: [Beerzelberg, locatedIn, Beerzel]
  • A. Beerzelberg
    Beerzelberg is a modest hill in Belgium known as the highest natural point in Antwerp Province.
  • B. Bruls
    Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
  • C. Boonenberg
    Boonenberg is a famed cobbled climb in the Tour of Flanders, nicknamed for Belgian cyclist Tom Boonen due to his repeated dominance on it.
  • D. Ossenzijl
    Ossenzijl is a small village in the Dutch province of Overijssel, known as a gateway to the Weerribben-Wieden National Park and its extensive wetlands and waterways.
  • E. Beersel
    Beersel is a municipality in the Flemish Brabant province of Belgium, known for its historic Beersel Castle and traditional lambic and gueuze breweries.
  • 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: Beerzel
Triple: [Beerzelberg, locatedIn, Beerzel]
Generated description
Beerzel is a village in the Belgian province of Antwerp, known for its rural character and proximity to the Beerzelberg hill, one of the region’s higher points.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beerzel
Target entity description: Beerzel is a village in the Belgian province of Antwerp, known for its rural character and proximity to the Beerzelberg hill, one of the region’s higher points.
  • A. Beerzelberg
    Beerzelberg is a modest hill in Belgium known as the highest natural point in Antwerp Province.
  • B. Bruls
    Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
  • C. Boonenberg
    Boonenberg is a famed cobbled climb in the Tour of Flanders, nicknamed for Belgian cyclist Tom Boonen due to his repeated dominance on it.
  • D. Ossenzijl
    Ossenzijl is a small village in the Dutch province of Overijssel, known as a gateway to the Weerribben-Wieden National Park and its extensive wetlands and waterways.
  • E. Beersel
    Beersel is a municipality in the Flemish Brabant province of Belgium, known for its historic Beersel Castle and traditional lambic and gueuze breweries.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a4338c8190836074d21bfbaf78 completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7378f3088190a38ae4ac5e44f41d completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a748c80b88190aaca0c0540c6f802 completed May 18, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7539f3308190a1ff50ad7cf89545 completed May 18, 2026, 2:11 a.m.
Created at: April 16, 2026, 8:22 p.m.