Triple

T7547781
Position Surface form Disambiguated ID Type / Status
Subject Diksmuide E178449 entity
Predicate hasDemonym P191 FINISHED
Object Diksmuideling
Diksmuideling is the term for an inhabitant or native of the Belgian city of Diksmuide.
E178449 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: Diksmuideling | Statement: [Diksmuide, hasDemonym, Diksmuideling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diksmuideling
Context triple: [Diksmuide, hasDemonym, Diksmuideling]
  • A. Diksmuide
    Diksmuide is a historic town in western Belgium known for its World War I battlefields and memorials, particularly the Yser Tower.
  • B. Biezelinge
    Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
  • C. Dinteloord
    Dinteloord is a village in the Dutch province of North Brabant, known for its agricultural surroundings and sugar beet processing industry.
  • D. Sommelsdijk
    Sommelsdijk is a village in the Netherlands located on the island of Goeree-Overflakkee in the province of South Holland.
  • E. Molenwaard
    Molenwaard was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
  • 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: Diksmuideling
Triple: [Diksmuide, hasDemonym, Diksmuideling]
Generated description
Diksmuideling is the term for an inhabitant or native of the Belgian city of Diksmuide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Diksmuideling
Target entity description: Diksmuideling is the term for an inhabitant or native of the Belgian city of Diksmuide.
  • A. Diksmuide chosen
    Diksmuide is a historic town in western Belgium known for its World War I battlefields and memorials, particularly the Yser Tower.
  • B. Biezelinge
    Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
  • C. Dinteloord
    Dinteloord is a village in the Dutch province of North Brabant, known for its agricultural surroundings and sugar beet processing industry.
  • D. Sommelsdijk
    Sommelsdijk is a village in the Netherlands located on the island of Goeree-Overflakkee in the province of South Holland.
  • E. Molenwaard
    Molenwaard was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
  • F. None of above.

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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89a7b2c8190b2ca57edbb4f0390 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856bb83b88190947c0efed84b891a completed March 28, 2026, 10:31 p.m.
NEDg Description generation batch_69c8575116c481909aa2bebb997e2883 completed March 28, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_69c857d522dc8190ae3c4734ac428334 completed March 28, 2026, 10:36 p.m.
Created at: March 27, 2026, 3:49 p.m.