Triple

T13994166
Position Surface form Disambiguated ID Type / Status
Subject Jorma Taccone E336651 entity
Predicate educatedAt P5 FINISHED
Object UCLA E27622 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: UCLA | Statement: [Jorma Taccone, educatedAt, UCLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UCLA
Context triple: [Jorma Taccone, educatedAt, UCLA]
  • A. University of California, Los Angeles chosen
    The University of California, Los Angeles (UCLA) is a leading public research university in Los Angeles renowned for its strong academic programs, influential research, and competitive athletics.
  • B. USC
    USC is a common abbreviation that, in this context, refers to the University of South Carolina and its Gamecocks athletic teams competing in NCAA Division I sports.
  • C. USC
    USC is a public university in Queensland, Australia, known for its modern campuses and focus on teaching quality and regional engagement.
  • D. USC
    USC is a historic public university in Santiago de Compostela, Spain, renowned for its academic and research excellence.
  • E. USC
    USC is a Japanese space launch and tracking facility operated by JAXA, known for supporting satellite launches and space science missions.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb53f508190855cd69b8061dd77 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac7a1ee88190951de590a4a07d6f completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 10:19 p.m.