Triple

T2252954
Position Surface form Disambiguated ID Type / Status
Subject Egyptian Natural Gas Holding Company E49656 entity
Predicate shortName P43 FINISHED
Object EGAS
EGAS is Egypt’s state-owned company responsible for managing and developing the country’s natural gas resources and infrastructure.
E247150 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: EGAS | Statement: [Egyptian Natural Gas Holding Company, shortName, EGAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EGAS
Context triple: [Egyptian Natural Gas Holding Company, shortName, EGAS]
  • A. 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.
  • B. EGIS
    EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
  • C. EGAC
    EGAC is the ICAO airport code assigned to George Best Belfast City Airport in Belfast, Northern Ireland.
  • D. EGA
    EGA is the common abbreviation for the Eagle, Globe, and Anchor emblem that symbolizes the United States Marine Corps.
  • E. EGA
    EGA (Enhanced Graphics Adapter) is an early IBM PC graphics standard that improved color and resolution capabilities over the original CGA.
  • 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: EGAS
Triple: [Egyptian Natural Gas Holding Company, shortName, EGAS]
Generated description
EGAS is Egypt’s state-owned company responsible for managing and developing the country’s natural gas resources and infrastructure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EGAS
Target entity description: EGAS is Egypt’s state-owned company responsible for managing and developing the country’s natural gas resources and infrastructure.
  • A. 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.
  • B. EGIS
    EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
  • C. EGAC
    EGAC is the ICAO airport code assigned to George Best Belfast City Airport in Belfast, Northern Ireland.
  • D. EGA
    EGA is the common abbreviation for the Eagle, Globe, and Anchor emblem that symbolizes the United States Marine Corps.
  • E. EGA
    EGA (Enhanced Graphics Adapter) is an early IBM PC graphics standard that improved color and resolution capabilities over the original CGA.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc11eb2708190bc5a3d152a3bb133 completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1dd6fc8190bd762fb3a17258b0 completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6bbdef14819084b96389435ca080 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c2cfac48190b0425088e79cd122 completed March 9, 2026, 6:43 a.m.
Created at: March 4, 2026, 7:47 p.m.