Triple

T1512440
Position Surface form Disambiguated ID Type / Status
Subject Antwerp E32042 entity
Predicate hasDistrict P459 FINISHED
Object Merksem
Merksem is a northern district of the Belgian city of Antwerp, known as a predominantly residential area with local commerce and sports facilities.
E172479 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: Merksem | Statement: [Antwerp, hasDistrict, Merksem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merksem
Context triple: [Antwerp, hasDistrict, Merksem]
  • A. Melle
    Melle is a town in Lower Saxony, Germany, known for its rural character, historical architecture, and role as a regional economic center.
  • B. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • C. Maaskant
    Maaskant is a Dutch surname most notably associated with architect Hugh Aart (H.A.) Maaskant, known for his influential post-war modernist buildings in the Netherlands.
  • D. Mohrungen
    Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
  • E. Nork
    Nork is a suburban residential area within the borough of Reigate and Banstead in Surrey, England.
  • 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: Merksem
Triple: [Antwerp, hasDistrict, Merksem]
Generated description
Merksem is a northern district of the Belgian city of Antwerp, known as a predominantly residential area with local commerce and sports facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Merksem
Target entity description: Merksem is a northern district of the Belgian city of Antwerp, known as a predominantly residential area with local commerce and sports facilities.
  • A. Melle
    Melle is a town in Lower Saxony, Germany, known for its rural character, historical architecture, and role as a regional economic center.
  • B. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • C. Maaskant
    Maaskant is a Dutch surname most notably associated with architect Hugh Aart (H.A.) Maaskant, known for his influential post-war modernist buildings in the Netherlands.
  • D. Mohrungen
    Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
  • E. Nork
    Nork is a suburban residential area within the borough of Reigate and Banstead in Surrey, England.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907d7cbf48190be40590a7f9fa1de completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad233e6e748190929b3f339cc9bd4b completed March 8, 2026, 7:20 a.m.
NEDg Description generation batch_69ad23e279e88190ae341af34ea98487 completed March 8, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69ad24f7d8b081909241ab3995172f4d completed March 8, 2026, 7:27 a.m.
Created at: March 4, 2026, 7:26 p.m.