Triple

T2365546
Position Surface form Disambiguated ID Type / Status
Subject Loudcloud E47369 entity
Predicate soldHostingBusinessTo P197 FINISHED
Object EDS
EDS (Electronic Data Systems) was a major American information technology services company known for providing outsourcing, consulting, and managed services to large corporate and government clients worldwide.
 E259817 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: EDS | Statement: [Loudcloud, soldHostingBusinessTo, EDS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EDS
Context triple: [Loudcloud, soldHostingBusinessTo, EDS]
  • A. EGDY
    EGDY is the ICAO airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
  • B. EDV
    EDV is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
  • C. EDDH
    EDDH is the ICAO airport code for Hamburg Airport, a major international airport in northern Germany.
  • D. ESD
    ESD is the primary economic development agency of New York State, responsible for promoting business growth, job creation, and investment.
  • E. ESCD
    ESCD is the abbreviation for NATO’s Emerging Security Challenges Division, which focuses on addressing new and evolving threats such as cyber defense, terrorism, and energy security.
  • 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: EDS
Triple: [Loudcloud, soldHostingBusinessTo, EDS]
Generated description
EDS (Electronic Data Systems) was a major American information technology services company known for providing outsourcing, consulting, and managed services to large corporate and government clients worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EDS
Target entity description: EDS (Electronic Data Systems) was a major American information technology services company known for providing outsourcing, consulting, and managed services to large corporate and government clients worldwide.
  • A. EGDY
    EGDY is the ICAO airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
  • B. EDV
    EDV is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
  • C. EDDH
    EDDH is the ICAO airport code for Hamburg Airport, a major international airport in northern Germany.
  • D. ESD
    ESD is the primary economic development agency of New York State, responsible for promoting business growth, job creation, and investment.
  • E. ESCD
    ESCD is the abbreviation for NATO’s Emerging Security Challenges Division, which focuses on addressing new and evolving threats such as cyber defense, terrorism, and energy security.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abd0d813dc8190aa331cdca0b75eca completed March 7, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea896e0388190aabff2d70787dc43 completed March 9, 2026, 11:01 a.m.
NEDg Description generation batch_69aea91ce164819091aa24b287f9fb8e completed March 9, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_69aea999b864819084134c670e7c5d9c completed March 9, 2026, 11:06 a.m.
Created at: March 4, 2026, 7:55 p.m.