Triple

T1151507
Position Surface form Disambiguated ID Type / Status
Subject CAC 40 E23686 entity
Predicate hasComponent P35 FINISHED
Object Capgemini
Capgemini is a global consulting, technology services, and digital transformation company headquartered in France.
E131998 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: Capgemini | Statement: [CAC 40, hasComponent, Capgemini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capgemini
Context triple: [CAC 40, hasComponent, Capgemini]
  • A. Infosys
    Infosys is a leading Indian multinational IT services and consulting company known for its global technology solutions and innovation initiatives.
  • B. Wipro Limited
    Wipro Limited is a major Indian multinational information technology, consulting, and business process services company headquartered in Bengaluru.
  • C. IBM
    IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
  • D. Groupe ADP
    Groupe ADP is a major French airport management company that owns and operates the Paris-area airports and provides aviation and related services worldwide.
  • E. Lotus Development Corporation
    Lotus Development Corporation was a pioneering American software company best known for creating the influential spreadsheet program Lotus 1-2-3, which dominated the business software market in the 1980s.
  • 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: Capgemini
Triple: [CAC 40, hasComponent, Capgemini]
Generated description
Capgemini is a global consulting, technology services, and digital transformation company headquartered in France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Capgemini
Target entity description: Capgemini is a global consulting, technology services, and digital transformation company headquartered in France.
  • A. Infosys
    Infosys is a leading Indian multinational IT services and consulting company known for its global technology solutions and innovation initiatives.
  • B. Wipro Limited
    Wipro Limited is a major Indian multinational information technology, consulting, and business process services company headquartered in Bengaluru.
  • C. IBM
    IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
  • D. Groupe ADP
    Groupe ADP is a major French airport management company that owns and operates the Paris-area airports and provides aviation and related services worldwide.
  • E. Lotus Development Corporation
    Lotus Development Corporation was a pioneering American software company best known for creating the influential spreadsheet program Lotus 1-2-3, which dominated the business software market in the 1980s.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc744e7c81908f8612f2aad28600 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb5d36c8190916a43a5f41df144 completed March 7, 2026, 5:21 p.m.
NEDg Description generation batch_69ac5f4756b08190b3dbaf64a9351836 completed March 7, 2026, 5:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac600f78148190bd3109276f7b9e3a completed March 7, 2026, 5:27 p.m.
Created at: March 1, 2026, 7:44 p.m.