Triple

T3623648
Position Surface form Disambiguated ID Type / Status
Subject Alexa Vega E76784 entity
Predicate performedIn P795 FINISHED
Object Nashville E18543 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: Nashville | Statement: [Alexa Vega, performedIn, Nashville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nashville
Context triple: [Alexa Vega, performedIn, Nashville]
  • A. Nashville chosen
    Nashville is the capital city of the U.S. state of Tennessee, widely known as a major center for country music and the recording industry.
  • B. Memphis
    Memphis is an ancient Egyptian capital near modern Cairo, renowned as a major political, religious, and cultural center and closely associated with the nearby pyramid fields and necropolises.
  • C. Memphis
    Memphis was the internal codename used by Microsoft during the development of the Windows 98 operating system.
  • D. Memphis
    Memphis is a major city in southwestern Tennessee known for its influential contributions to blues, soul, and rock 'n' roll music, as well as its rich cultural and civil rights history.
  • E. Nashville metropolitan area
    The Nashville metropolitan area is a multi-county urban region in Middle Tennessee centered on the city of Nashville, known for its music industry, healthcare sector, and rapid population growth.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bc79008190abe6900adcbda8de completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc51a7c6081909eeda563a4485e87 completed March 20, 2026, 10:07 p.m.
Created at: March 8, 2026, 3:23 p.m.