Triple

T7422553
Position Surface form Disambiguated ID Type / Status
Subject Target Center E171284 entity
Predicate operator P179 FINISHED
Object AEG Facilities
AEG Facilities is a global venue management company that operates and manages sports, entertainment, and convention facilities worldwide.
 E222077 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: AEG Facilities | Statement: [Target Center, operator, AEG Facilities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AEG Facilities
Context triple: [Target Center, operator, AEG Facilities]
  • A. AEG Europe
    AEG Europe is a leading live entertainment and sports company that owns and operates major venues and events across Europe.
  • B. AEG
    AEG is a historic German electrical engineering and electronics company known for its pioneering role in power systems, appliances, and industrial technology.
  • C. AEG power tools
    AEG power tools is a brand of professional-grade electric power tools and equipment originally associated with the German electrical company AEG.
  • D. AEP
    AEP is the IATA airport code for Aeroparque Jorge Newbery, the main domestic and regional airport serving Buenos Aires, Argentina.
  • E. AEP
    AEP is a commonly used abbreviation for the Medicare Annual Enrollment Period, the yearly window when beneficiaries can change their Medicare coverage.
  • 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: AEG Facilities
Triple: [Target Center, operator, AEG Facilities]
Generated description
AEG Facilities is a global venue management company that operates and manages sports, entertainment, and convention facilities worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AEG Facilities
Target entity description: AEG Facilities is a global venue management company that operates and manages sports, entertainment, and convention facilities worldwide.
  • A. AEG Europe chosen
    AEG Europe is a leading live entertainment and sports company that owns and operates major venues and events across Europe.
  • B. AEG
    AEG is a historic German electrical engineering and electronics company known for its pioneering role in power systems, appliances, and industrial technology.
  • C. AEG power tools
    AEG power tools is a brand of professional-grade electric power tools and equipment originally associated with the German electrical company AEG.
  • D. AEP
    AEP is the IATA airport code for Aeroparque Jorge Newbery, the main domestic and regional airport serving Buenos Aires, Argentina.
  • E. AEP
    AEP is a commonly used abbreviation for the Medicare Annual Enrollment Period, the yearly window when beneficiaries can change their Medicare coverage.
  • F. None of above.

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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2ed29ec8190804564185fe20797 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81effc488819086336eea92604fa8 completed March 28, 2026, 6:33 p.m.
NEDg Description generation batch_69c81fe025d081909f2a5c4515c60f64 completed March 28, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69c824010104819081977e89d79ebb44 completed March 28, 2026, 6:54 p.m.
Created at: March 27, 2026, 3:11 p.m.