Triple
T36265068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frog Music |
E892197
|
entity |
| Predicate | inspiredByEventLocation |
P14480
|
FINISHED |
| Object | San Francisco Bay Area |
—
|
NE NERFINISHED |
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 | Statement: [Frog Music, inspiredByEventLocation, San Francisco Bay Area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredByEventLocation Context triple: [Frog Music, inspiredByEventLocation, San Francisco Bay Area]
-
A.
inspiredEvent
Indicates that one event served as the motivation, cause, or creative stimulus for another event to occur or be conceived.
-
B.
inspiredByPlace
chosen
Indicates that something (such as a work, idea, or creation) originates from or is significantly influenced by a particular location or environment.
-
C.
tookPlaceAtLocation
Indicates that an event or action occurred at a specific location.
-
D.
placeOfEventCommemorated
Indicates the location where the event being commemorated actually took place.
-
E.
significantEventPlace
Indicates the place where a significant event occurred or is associated with an entity.
- 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_69f76e4699188190af045b11a840ce31 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: May 3, 2026, 4:09 p.m.