Triple

T21785082
Position Surface form Disambiguated ID Type / Status
Subject Heers E537814 entity
Predicate hasSubdivision P747 FINISHED
Object Horpmaal
Horpmaal is a small village in the municipality of Heers in the Belgian province of Limburg.
E1503117 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: Horpmaal | Statement: [Heers, hasSubdivision, Horpmaal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horpmaal
Context triple: [Heers, hasSubdivision, Horpmaal]
  • A. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • B. Knudshoved
    Knudshoved is a coastal area on the Danish island of Funen that serves as a key transport hub and former ferry terminal at the western end of the Great Belt crossing.
  • C. Heppen
    Heppen is a village in the Belgian province of Limburg that forms part of the municipality of Leopoldsburg.
  • D. Havixbeck
    Havixbeck is a municipality in North Rhine-Westphalia, Germany, known for its rural character and proximity to the city of Münster.
  • E. Hakeburg
    Hakeburg is a historic castle-like manor and former research facility located in Kleinmachnow, Germany.
  • 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: Horpmaal
Triple: [Heers, hasSubdivision, Horpmaal]
Generated description
Horpmaal is a small village in the municipality of Heers in the Belgian province of Limburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Horpmaal
Target entity description: Horpmaal is a small village in the municipality of Heers in the Belgian province of Limburg.
  • A. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • B. Knudshoved
    Knudshoved is a coastal area on the Danish island of Funen that serves as a key transport hub and former ferry terminal at the western end of the Great Belt crossing.
  • C. Heppen
    Heppen is a village in the Belgian province of Limburg that forms part of the municipality of Leopoldsburg.
  • D. Havixbeck
    Havixbeck is a municipality in North Rhine-Westphalia, Germany, known for its rural character and proximity to the city of Münster.
  • E. Hakeburg
    Hakeburg is a historic castle-like manor and former research facility located in Kleinmachnow, Germany.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04630f4f08190910b9e499a4249ca completed April 28, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45d4af6481909743ff2a2a244f2c completed May 17, 2026, 10:48 p.m.
NEDg Description generation batch_6a0a46a16de88190a930f98921d41239 completed May 17, 2026, 10:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0a471f6d3481908108ceea4ff1c47b completed May 17, 2026, 10:54 p.m.
Created at: April 16, 2026, 6:52 p.m.