Triple

T920353
Position Surface form Disambiguated ID Type / Status
Subject Military Demarcation Line E19868 entity
Predicate shortName P43 FINISHED
Object MDL
MDL is the abbreviation commonly used for the Military Demarcation Line that separates North and South Korea along the Korean Demilitarized Zone.
 E107950 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: MDL | Statement: [Military Demarcation Line, shortName, MDL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MDL
Context triple: [Military Demarcation Line, shortName, MDL]
  • A. MDT
    MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
  • B. MDU
    MDU is the official county code used to identify Madera County in administrative and governmental contexts.
  • C. MDA
    MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
  • D. MDW
    MDW is the IATA airport code for Chicago Midway International Airport, a major commercial airport serving the Chicago metropolitan area in Illinois, USA.
  • E. MTD
    MTD is the public bus transit agency serving the Champaign–Urbana metropolitan area in Illinois.
  • 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: MDL
Triple: [Military Demarcation Line, shortName, MDL]
Generated description
MDL is the abbreviation commonly used for the Military Demarcation Line that separates North and South Korea along the Korean Demilitarized Zone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MDL
Target entity description: MDL is the abbreviation commonly used for the Military Demarcation Line that separates North and South Korea along the Korean Demilitarized Zone.
  • A. MDT
    MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
  • B. MDU
    MDU is the official county code used to identify Madera County in administrative and governmental contexts.
  • C. MDA
    MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
  • D. MDW
    MDW is the IATA airport code for Chicago Midway International Airport, a major commercial airport serving the Chicago metropolitan area in Illinois, USA.
  • E. MTD
    MTD is the public bus transit agency serving the Champaign–Urbana metropolitan area in Illinois.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3120dbc81908362158fe3ffa889 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf6486d88190b53cd743b08eef33 completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7d02d9d308190a9e950ae034b2ec5 completed March 4, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69a7d0aac93481908ffc2141d668e9d2 completed March 4, 2026, 6:26 a.m.
Created at: March 1, 2026, 7:40 p.m.