Triple

T6634183
Position Surface form Disambiguated ID Type / Status
Subject MHL E150403 entity
Predicate hasAbbreviation P43 FINISHED
Object MHL
MHL is an abbreviation that can refer to various entities, most commonly the Mobile High-Definition Link technology standard for transmitting audio and video from mobile devices to displays.
E606416 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: MHL | Statement: [MHL, hasAbbreviation, MHL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MHL
Context triple: [MHL, hasAbbreviation, MHL]
  • A. MHL
    MHL is the three-letter ISO 3166-1 alpha-3 country code representing the Republic of the Marshall Islands.
  • B. MHL
    MHL is the commonly used abbreviation for the International Hockey League, a professional ice hockey organization.
  • C. MHL
    The MHL is Russia’s top junior ice hockey league, serving as a key development system for young players aiming to reach professional levels such as the KHL.
  • D. MHL-B
    MHL-B is a Russian junior ice hockey league that serves as the second-tier developmental competition beneath the main Junior Hockey League (MHL).
  • E. HDMI
    HDMI (High-Definition Multimedia Interface) is a widely used digital standard for transmitting high-definition audio and video between devices such as media players, computers, and displays over a single cable.
  • 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: MHL
Triple: [MHL, hasAbbreviation, MHL]
Generated description
MHL is an abbreviation that can refer to various entities, most commonly the Mobile High-Definition Link technology standard for transmitting audio and video from mobile devices to displays.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MHL
Target entity description: MHL is an abbreviation that can refer to various entities, most commonly the Mobile High-Definition Link technology standard for transmitting audio and video from mobile devices to displays.
  • A. MHL
    MHL is the three-letter ISO 3166-1 alpha-3 country code representing the Republic of the Marshall Islands.
  • B. MHL
    MHL is the commonly used abbreviation for the International Hockey League, a professional ice hockey organization.
  • C. MHL
    The MHL is Russia’s top junior ice hockey league, serving as a key development system for young players aiming to reach professional levels such as the KHL.
  • D. MHL-B
    MHL-B is a Russian junior ice hockey league that serves as the second-tier developmental competition beneath the main Junior Hockey League (MHL).
  • E. HDMI
    HDMI (High-Definition Multimedia Interface) is a widely used digital standard for transmitting high-definition audio and video between devices such as media players, computers, and displays over a single cable.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afca8f0c819094a1989360cf58b6 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4518f4881909c0a56df993d2af6 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e57e4b5481908db848f119f2079a completed March 27, 2026, 8:15 p.m.
NED2 Entity disambiguation (via description) batch_69c6e616701081909428e20d2a6ede4b completed March 27, 2026, 8:18 p.m.
Created at: March 27, 2026, 1:59 p.m.