Triple
T390755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquarium of the Bay |
E8873
|
entity |
| Predicate | primaryWaterSource |
P4360
|
FINISHED |
| Object | San Francisco Bay saltwater |
—
|
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 saltwater | Statement: [Aquarium of the Bay, primaryWaterSource, San Francisco Bay saltwater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryWaterSource Context triple: [Aquarium of the Bay, primaryWaterSource, San Francisco Bay saltwater]
-
A.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
B.
sourceOfWaterSupply
chosen
Indicates that one entity serves as the origin or provider of another entity’s water supply.
-
C.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
D.
majorRiverSource
Indicates that one entity is the primary originating source or headwaters location of a major river.
-
E.
waterInfrastructure
Indicates the existence, development, or management of systems and facilities that supply, store, treat, or distribute water between entities.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5d73e881909101308a583c8f13 |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e96960608190bdd342da9c5ddb5e |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.