Triple

T6326978
Position Surface form Disambiguated ID Type / Status
Subject Netherlands Naval Aviation Service E141885 entity
Predicate abbreviation P43 FINISHED
Object MLD
MLD is the abbreviation for the Netherlands Naval Aviation Service, the air arm of the Royal Netherlands Navy responsible for maritime aviation operations.
 E586546 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: MLD | Statement: [Netherlands Naval Aviation Service, abbreviation, MLD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MLD
Context triple: [Netherlands Naval Aviation Service, abbreviation, MLD]
  • A. MDL
    MDL is the official currency code for the Moldovan leu, the national currency of Moldova.
  • B. MDL
    MDL (Material Definition Language) is NVIDIA’s high-level language for defining physically based materials and their appearance consistently across different rendering and simulation platforms.
  • C. MDL
    MDL is the abbreviation commonly used for the Military Demarcation Line that separates North and South Korea along the Korean Demilitarized Zone.
  • D. MLC
    MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
  • E. MVL
    MVL is the abbreviation for the Man Vehicle Laboratory, a research lab focused on human factors and human–machine interaction in aerospace and related fields.
  • 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: MLD
Triple: [Netherlands Naval Aviation Service, abbreviation, MLD]
Generated description
MLD is the abbreviation for the Netherlands Naval Aviation Service, the air arm of the Royal Netherlands Navy responsible for maritime aviation operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MLD
Target entity description: MLD is the abbreviation for the Netherlands Naval Aviation Service, the air arm of the Royal Netherlands Navy responsible for maritime aviation operations.
  • A. MDL
    MDL is the official currency code for the Moldovan leu, the national currency of Moldova.
  • B. MDL
    MDL (Material Definition Language) is NVIDIA’s high-level language for defining physically based materials and their appearance consistently across different rendering and simulation platforms.
  • C. MDL
    MDL is the abbreviation commonly used for the Military Demarcation Line that separates North and South Korea along the Korean Demilitarized Zone.
  • D. MLC
    MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
  • E. MVL
    MVL is the abbreviation for the Man Vehicle Laboratory, a research lab focused on human factors and human–machine interaction in aerospace and related fields.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e833a0819096000b47e776949d completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c60410223081908c1cf3663d4b14c0 completed March 27, 2026, 4:14 a.m.
NEDg Description generation batch_69c60626724881908e6270c2d3652c16 completed March 27, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69c606bd2228819082fcb63493664927 completed March 27, 2026, 4:25 a.m.
Created at: March 22, 2026, 4:29 p.m.