Triple
T18444643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco Sound |
E450623
|
entity |
| Predicate | recordIndustryCenter |
P11547
|
FINISHED |
| Object | San Francisco Bay Area independent labels |
—
|
LITERAL 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: San Francisco Bay Area independent labels | Statement: [San Francisco Sound, recordIndustryCenter, San Francisco Bay Area independent labels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordIndustryCenter Context triple: [San Francisco Sound, recordIndustryCenter, San Francisco Bay Area independent labels]
-
A.
recordIndustryCategory
Indicates the industry classification or sector under which an entity’s business activities are recorded.
-
B.
industryCenter
chosen
Indicates that a location functions as a primary hub or focal point for industrial activity or production.
-
C.
hasRecordIndustry
Indicates that an entity is associated with or operates within the record (music) industry.
-
D.
operatorIndustry
Indicates that an operator (such as a company or organization) is engaged in or associated with a particular industry sector.
-
E.
peakIndustry
Indicates that an entity is at the highest or most dominant level within a particular industry or sector.
- F. None of above.
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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c142abc8190b4f6f938acdc413d |
completed | April 19, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:30 a.m.