Triple

T1917990
Position Surface form Disambiguated ID Type / Status
Subject Egyptian General Intelligence Service E40061 entity
Predicate shortName P43 FINISHED
Object EGIS
EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
 E214772 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: EGIS | Statement: [Egyptian General Intelligence Service, shortName, EGIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EGIS
Context triple: [Egyptian General Intelligence Service, shortName, EGIS]
  • A. EGNS
    EGNS is the ICAO airport code for Isle of Man Airport, the main civil airport serving the Isle of Man.
  • B. OGIS
    OGIS is the U.S. federal office that mediates Freedom of Information Act (FOIA) disputes and oversees agency FOIA compliance to improve government transparency.
  • C. EGSS
    EGSS is the ICAO airport code assigned to London Stansted Airport, a major international airport serving the London area in the United Kingdom.
  • D. GEOC
    GEOC is the commonly used abbreviation for the Division of Geochemistry, a professional group focused on the study of the chemical composition and processes of the Earth.
  • E. Egencia
    Egencia is a corporate travel management company that provides technology-driven solutions for booking and managing business travel worldwide.
  • 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: EGIS
Triple: [Egyptian General Intelligence Service, shortName, EGIS]
Generated description
EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EGIS
Target entity description: EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
  • A. EGNS
    EGNS is the ICAO airport code for Isle of Man Airport, the main civil airport serving the Isle of Man.
  • B. OGIS
    OGIS is the U.S. federal office that mediates Freedom of Information Act (FOIA) disputes and oversees agency FOIA compliance to improve government transparency.
  • C. EGSS
    EGSS is the ICAO airport code assigned to London Stansted Airport, a major international airport serving the London area in the United Kingdom.
  • D. GEOC
    GEOC is the commonly used abbreviation for the Division of Geochemistry, a professional group focused on the study of the chemical composition and processes of the Earth.
  • E. Egencia
    Egencia is a corporate travel management company that provides technology-driven solutions for booking and managing business travel worldwide.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2107fe48190bafff825f1f805ad completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3dcc288819096855351a0e69069 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf471909881909de20d9d1fa0b372 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf50b17a081909b93ad3e08c71772 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.