Triple

T5436193
Position Surface form Disambiguated ID Type / Status
Subject Great Mosque of Medan E122012 entity
Predicate architect P184 FINISHED
Object Dingemans
Dingemans was an architect known for designing the Great Mosque of Medan in Indonesia.
 E519489 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: Dingemans | Statement: [Great Mosque of Medan, architect, Dingemans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dingemans
Context triple: [Great Mosque of Medan, architect, Dingemans]
  • A. Sjaalman
    Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
  • B. Hollander
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • C. Danneels
    Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • D. Schäffer
    Schäffer is a German surname associated with various notable figures in politics, academia, and the arts.
  • E. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • 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: Dingemans
Triple: [Great Mosque of Medan, architect, Dingemans]
Generated description
Dingemans was an architect known for designing the Great Mosque of Medan in Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dingemans
Target entity description: Dingemans was an architect known for designing the Great Mosque of Medan in Indonesia.
  • A. Sjaalman
    Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
  • B. Hollander
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • C. Danneels
    Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • D. Schäffer
    Schäffer is a German surname associated with various notable figures in politics, academia, and the arts.
  • E. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91bb51d48190aab340d8d25e9a9a completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3acfd0408190877fbe41f1dc45ba completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3c4f3e288190bab81e761017f015 completed March 22, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_69bf3cde5004819096988c61b45958ea completed March 22, 2026, 12:50 a.m.
Created at: March 20, 2026, 2:07 p.m.