Triple

T780995
Position Surface form Disambiguated ID Type / Status
Subject Staples Center E16494 entity
Predicate operator P179 FINISHED
Object AEG Facilities E89003 NE FINISHED

How this triple was built (2 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: [Staples Center, operator, AEG Facilities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AEG Facilities
Context triple: [Staples Center, operator, AEG Facilities]
  • A. AEG Live chosen
    AEG Live is a major global live entertainment company that promotes concerts and manages venues and tours for top artists.
  • B. AEC
    AEC was the common abbreviation for the United States Atomic Energy Commission, the federal agency that oversaw nuclear energy development and regulation in the mid-20th century.
  • C. AEC
    AEC is a European network and advocacy organization representing higher music education institutions such as conservatoires, academies, and music universities.
  • D. AEG corporate identity
    AEG corporate identity is a pioneering early 20th-century example of comprehensive corporate branding and design, created by Peter Behrens for the German electrical company AEG.
  • E. ABB
    ABB is a multinational Swiss-Swedish corporation specializing in robotics, power, and automation technologies for utilities and industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a751ea3481908a622d5255249883 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d9f13308190b2fccca575e03ec1 completed March 3, 2026, 5:11 a.m.
Created at: March 1, 2026, 7:37 p.m.