Triple

T2105924
Position Surface form Disambiguated ID Type / Status
Subject IBM PC AT E37193 entity
Predicate graphicsAdapter P8612 FINISHED
Object EGA
EGA (Enhanced Graphics Adapter) is an early IBM PC graphics standard that improved color and resolution capabilities over the original CGA.
 E233789 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: EGA | Statement: [IBM PC AT, graphicsAdapter, EGA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EGA
Context triple: [IBM PC AT, graphicsAdapter, EGA]
  • A. EGA
    EGA is the common abbreviation for the Eagle, Globe, and Anchor emblem that symbolizes the United States Marine Corps.
  • B. EGVA
    EGVA is the ICAO airport code for RAF Fairford, a Royal Air Force station in Gloucestershire, England used primarily by the United States Air Force for bomber and airlift operations.
  • C. EG
    EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
  • D. GLE
    The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
  • E. EGAA
    EGAA is the ICAO airport code assigned to Belfast International Airport in Northern Ireland.
  • 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: EGA
Triple: [IBM PC AT, graphicsAdapter, EGA]
Generated description
EGA (Enhanced Graphics Adapter) is an early IBM PC graphics standard that improved color and resolution capabilities over the original CGA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EGA
Target entity description: EGA (Enhanced Graphics Adapter) is an early IBM PC graphics standard that improved color and resolution capabilities over the original CGA.
  • A. EGA
    EGA is the common abbreviation for the Eagle, Globe, and Anchor emblem that symbolizes the United States Marine Corps.
  • B. EGVA
    EGVA is the ICAO airport code for RAF Fairford, a Royal Air Force station in Gloucestershire, England used primarily by the United States Air Force for bomber and airlift operations.
  • C. EG
    EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
  • D. GLE
    The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
  • E. EGAA
    EGAA is the ICAO airport code assigned to Belfast International Airport in Northern Ireland.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbaddeb148190b728bce7a7b041fb completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae306bee8881908c62306fb1f6aea1 completed March 9, 2026, 2:29 a.m.
NEDg Description generation batch_69ae30e1c7488190acd6d29c5ad10c33 completed March 9, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69ae316398488190b9dd38145d5488b4 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.