Triple
T24371246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spring Valley groundwater basin |
E614336
|
entity |
| Predicate | hasAquiferType |
P37190
|
FINISHED |
| Object | unconfined aquifer |
—
|
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: unconfined aquifer | Statement: [Spring Valley groundwater basin, hasAquiferType, unconfined aquifer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAquiferType Context triple: [Spring Valley groundwater basin, hasAquiferType, unconfined aquifer]
-
A.
hasAquifer
Indicates that one entity possesses, contains, or overlies an aquifer associated with it.
-
B.
aquiferType
chosen
Indicates the classification or category of an aquifer based on its hydrogeologic characteristics or behavior.
-
C.
formsAquifers
Indicates that something creates, develops, or contributes to the formation of aquifers as groundwater-bearing geological structures.
-
D.
hasWaterResourceType
Indicates that an entity is associated with a specific type or category of water resource.
-
E.
hasHydrologicalType
Indicates a relationship where an entity is classified according to its hydrological category or type (e.g., river, lake, aquifer).
- 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_69e2d7e1e010819098b95eb3f905943d |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2938b95188190b8f7ee1098c6088a |
completed | April 29, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:02 a.m.