Triple

T22010877
Position Surface form Disambiguated ID Type / Status
Subject Beerzelberg E543568 entity
Predicate near P350 FINISHED
Object town of Heist-op-den-Berg
The town of Heist-op-den-Berg is a municipality in the Belgian province of Antwerp, known for its gently hilly landscape and local cultural heritage.
E1513498 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: town of Heist-op-den-Berg | Statement: [Beerzelberg, near, town of Heist-op-den-Berg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Heist-op-den-Berg
Context triple: [Beerzelberg, near, town of Heist-op-den-Berg]
  • A. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • B. De Heurne
    De Heurne is a small village in the Dutch province of Gelderland, located in the municipality of Aalten near the German border.
  • C. Bergeijk
    Bergeijk is a municipality and village in the southern Netherlands, located in the province of North Brabant near the Belgian border.
  • D. Grobbendonk
    Grobbendonk is a municipality in the Belgian province of Antwerp, known as the birthplace of legendary cyclist Rik Van Looy.
  • E. ’s-Heer Arendskerke
    ’s-Heer Arendskerke is a small village in the Dutch province of Zeeland, known for its rural character and historic church.
  • 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: town of Heist-op-den-Berg
Triple: [Beerzelberg, near, town of Heist-op-den-Berg]
Generated description
The town of Heist-op-den-Berg is a municipality in the Belgian province of Antwerp, known for its gently hilly landscape and local cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: town of Heist-op-den-Berg
Target entity description: The town of Heist-op-den-Berg is a municipality in the Belgian province of Antwerp, known for its gently hilly landscape and local cultural heritage.
  • A. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • B. De Heurne
    De Heurne is a small village in the Dutch province of Gelderland, located in the municipality of Aalten near the German border.
  • C. Bergeijk
    Bergeijk is a municipality and village in the southern Netherlands, located in the province of North Brabant near the Belgian border.
  • D. Grobbendonk
    Grobbendonk is a municipality in the Belgian province of Antwerp, known as the birthplace of legendary cyclist Rik Van Looy.
  • E. ’s-Heer Arendskerke
    ’s-Heer Arendskerke is a small village in the Dutch province of Zeeland, known for its rural character and historic church.
  • 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.