Triple

T16399168
Position Surface form Disambiguated ID Type / Status
Subject San Francisco Symphony Chorus E398263 entity
Predicate recordLabel P1500 FINISHED
Object SFS Media E398260 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: SFS Media | Statement: [San Francisco Symphony Chorus, recordLabel, SFS Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SFS Media
Context triple: [San Francisco Symphony Chorus, recordLabel, SFS Media]
  • A. SFS Media chosen
    SFS Media is the in-house recording label of the San Francisco Symphony, known for producing high-quality orchestral and classical music recordings.
  • B. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • C. SFS
    SFS is the commonly used abbreviation for the San Francisco Symphony, a major American orchestra based in San Francisco, California.
  • D. SFS
    SFS is a spatial feature standard that defines how geographic features and their properties are modeled and accessed in geospatial information systems.
  • E. SFS
    SFS is a common abbreviation for Allianz Stadium, a major sports and entertainment venue in Sydney, Australia.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cdc62481909de144b09a921e63 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357838a88190be88c51f454be6eb completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:09 a.m.