Triple

T10682617
Position Surface form Disambiguated ID Type / Status
Subject San Francisco park system E251793 entity
Predicate hasPart P35 FINISHED
Object Music Concourse E48767 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 Concourse | Statement: [San Francisco park system, hasPart, Music Concourse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Music Concourse
Context triple: [San Francisco park system, hasPart, Music Concourse]
  • A. Music Concourse chosen
    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.
  • B. Ici Musique
    Ici Musique is a Canadian French-language public radio network operated by CBC/Radio-Canada that focuses on music and cultural programming.
  • C. Magnatune
    Magnatune is an independent, online record label known for its artist-friendly licensing model and slogan "We are not evil."
  • D. PonoMusic
    PonoMusic was a high-resolution digital music service and dedicated audio player brand aimed at delivering studio-quality sound to consumers.
  • E. Tuneheadz
    Tuneheadz is a music production entity associated with the producer Grand Champ, known for crafting beats and tracks in contemporary genres.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc43b9481908f35490db93db76c completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9888cf7b481909de6a4fecb48cf4b completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:10 p.m.