Triple

T5952426
Position Surface form Disambiguated ID Type / Status
Subject Aa en Hunze E132430 entity
Predicate hasDolmen P33395 FINISHED
Object D33
D33 is a prehistoric megalithic tomb (hunebed) located in the municipality of Aa en Hunze in the Netherlands.
E557925 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: D33 | Statement: [Aa en Hunze, hasDolmen, D33]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: D33
Context triple: [Aa en Hunze, hasDolmen, D33]
  • A. D3
    D3 is the commonly used abbreviation for California Department of Transportation's District 3, which oversees state transportation infrastructure in part of Northern California.
  • B. D3
    D3 is one of the commuter rail lines of the Moscow Central Diameters urban rail system, connecting Moscow with its surrounding suburbs.
  • C. S33
    S33 is a UK postcode district in the Hope Valley area of Derbyshire, covering several rural villages within the Peak District National Park.
  • D. D3A
    D3A is the Japanese Navy designation for the Aichi D3A, a World War II carrier-based dive bomber used prominently in early Pacific War operations.
  • E. F33
    F33 is BMW’s internal designation for the first-generation 4 Series convertible model.
  • 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: D33
Triple: [Aa en Hunze, hasDolmen, D33]
Generated description
D33 is a prehistoric megalithic tomb (hunebed) located in the municipality of Aa en Hunze in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: D33
Target entity description: D33 is a prehistoric megalithic tomb (hunebed) located in the municipality of Aa en Hunze in the Netherlands.
  • A. D3
    D3 is the commonly used abbreviation for California Department of Transportation's District 3, which oversees state transportation infrastructure in part of Northern California.
  • B. D3
    D3 is one of the commuter rail lines of the Moscow Central Diameters urban rail system, connecting Moscow with its surrounding suburbs.
  • C. S33
    S33 is a UK postcode district in the Hope Valley area of Derbyshire, covering several rural villages within the Peak District National Park.
  • D. D3A
    D3A is the Japanese Navy designation for the Aichi D3A, a World War II carrier-based dive bomber used prominently in early Pacific War operations.
  • E. F33
    F33 is BMW’s internal designation for the first-generation 4 Series convertible model.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c049ff0eec8190834f77bafae943ce completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3d1801c819093dc43dc5a525796 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0e781af588190a8f5572a03b24822 completed March 23, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69c0e7f767f8819086026b95c4534733 completed March 23, 2026, 7:12 a.m.
Created at: March 22, 2026, 4:02 p.m.