Triple

T159238
Position Surface form Disambiguated ID Type / Status
Subject Maryland General Assembly E3243 entity
Predicate abbreviation P43 FINISHED
Object MGA
MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
E19199 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: MGA | Statement: [Maryland General Assembly, abbreviation, MGA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MGA
Context triple: [Maryland General Assembly, abbreviation, MGA]
  • A. MGM
    MGM (Metro-Goldwyn-Mayer) is a historic American film studio renowned for its iconic roaring lion logo and for producing many of the most famous movies of Hollywood’s Golden Age.
  • B. MagE
    MagE is a medium-resolution optical echellette spectrograph used on the Magellan telescopes for detailed spectroscopic studies of astronomical objects.
  • C. Arena Group
    Arena Group is a digital media company that owns and operates a portfolio of sports, lifestyle, and financial publications, including Sports Illustrated.
  • D. HMG
    HMG is the common abbreviation for His Majesty’s Government, the central executive authority of the United Kingdom responsible for national policy and administration.
  • E. Regal Entertainment Group
    Regal Entertainment Group is one of the largest movie theater chains in the United States, operating multiplex cinemas across the country.
  • 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: MGA
Triple: [Maryland General Assembly, abbreviation, MGA]
Generated description
MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MGA
Target entity description: MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
  • A. MGM
    MGM (Metro-Goldwyn-Mayer) is a historic American film studio renowned for its iconic roaring lion logo and for producing many of the most famous movies of Hollywood’s Golden Age.
  • B. MagE
    MagE is a medium-resolution optical echellette spectrograph used on the Magellan telescopes for detailed spectroscopic studies of astronomical objects.
  • C. Arena Group
    Arena Group is a digital media company that owns and operates a portfolio of sports, lifestyle, and financial publications, including Sports Illustrated.
  • D. HMG
    HMG is the common abbreviation for His Majesty’s Government, the central executive authority of the United Kingdom responsible for national policy and administration.
  • E. Regal Entertainment Group
    Regal Entertainment Group is one of the largest movie theater chains in the United States, operating multiplex cinemas across the country.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25855baf48190a1b63f2e5865d957 completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d0c797d08190b737cfac052ec3de completed Feb. 28, 2026, 11:25 a.m.
NEDg Description generation batch_69a2d12d78208190a8a027a3f791dc60 completed Feb. 28, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_69a2d19d525c81909201aefc7fbc1095 completed Feb. 28, 2026, 11:29 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.