Triple

T1558024
Position Surface form Disambiguated ID Type / Status
Subject AH-6 Little Bird E33253 entity
Predicate developedFrom P1245 FINISHED
Object MD 500
The MD 500 is a family of light, single-engine civilian and military helicopters known for their agility, compact size, and use in roles ranging from transport to law enforcement and special operations.
 E177235 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: MD 500 | Statement: [AH-6 Little Bird, developedFrom, MD 500]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MD 500
Context triple: [AH-6 Little Bird, developedFrom, MD 500]
  • A. M25
    M25 is a major orbital motorway encircling most of Greater London in the United Kingdom.
  • B. MDH
    MDH is the acronym for the Maryland Department of Health, the state agency responsible for public health services, policy, and regulation in Maryland.
  • C. MDU
    MDU is the official county code used to identify Madera County in administrative and governmental contexts.
  • D. MDT
    MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
  • E. MDE
    MDE is the state agency in Maryland responsible for protecting and restoring the environment and public health through regulation, monitoring, and enforcement of environmental laws.
  • 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: MD 500
Triple: [AH-6 Little Bird, developedFrom, MD 500]
Generated description
The MD 500 is a family of light, single-engine civilian and military helicopters known for their agility, compact size, and use in roles ranging from transport to law enforcement and special operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MD 500
Target entity description: The MD 500 is a family of light, single-engine civilian and military helicopters known for their agility, compact size, and use in roles ranging from transport to law enforcement and special operations.
  • A. M25
    M25 is a major orbital motorway encircling most of Greater London in the United Kingdom.
  • B. MDH
    MDH is the acronym for the Maryland Department of Health, the state agency responsible for public health services, policy, and regulation in Maryland.
  • C. MDU
    MDU is the official county code used to identify Madera County in administrative and governmental contexts.
  • D. MDT
    MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
  • E. MDE
    MDE is the state agency in Maryland responsible for protecting and restoring the environment and public health through regulation, monitoring, and enforcement of environmental laws.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088355048190adad5ea2bb558d13 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3710688c8190a280f03bced5601f completed March 8, 2026, 8:45 a.m.
NEDg Description generation batch_69ad3812855881909b571d6a7a96d524 completed March 8, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad38a4017c8190b2c5f1f0d1d9b5a5 completed March 8, 2026, 8:51 a.m.
Created at: March 4, 2026, 7:27 p.m.