Triple

T1510630
Position Surface form Disambiguated ID Type / Status
Subject UC Berkeley Library E32003 entity
Predicate hasComponent P35 FINISHED
Object Music Library E96099 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: Music Library | Statement: [UC Berkeley Library, hasComponent, Music Library]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Music Library
Context triple: [UC Berkeley Library, hasComponent, Music Library]
  • A. Music Library chosen
    The Music Library is a specialized branch of the Stanford University Libraries that collects, preserves, and provides access to music scores, recordings, and scholarly resources in music and related fields.
  • B. Option Musique
    Option Musique is a Swiss radio station operated by Radio Télévision Suisse that focuses on popular music programming.
  • C. Tunes
    Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
  • D.  Music
     Music is the stylized logo-based shorthand for Apple Music, Apple’s subscription music and audio streaming service.
  • E. Music Concourse
    Music Concourse is a historic open-air plaza and performance space in San Francisco’s Golden Gate Park, known for its band shell, fountains, and surrounding cultural institutions.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907d4edd48190a03c85e1a0cc02b1 completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad233e6e748190929b3f339cc9bd4b completed March 8, 2026, 7:20 a.m.
Created at: March 4, 2026, 7:26 p.m.