Triple
T16421232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estancia Basin |
E398822
|
entity |
| Predicate | hasGroundwaterSystem |
P26275
|
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: [Estancia Basin, hasGroundwaterSystem, unconfined aquifer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGroundwaterSystem Context triple: [Estancia Basin, hasGroundwaterSystem, unconfined aquifer]
-
A.
hasAquifer
chosen
Indicates that one entity possesses, contains, or overlies an aquifer associated with it.
-
B.
hasWaterResourceType
Indicates that an entity is associated with a specific type or category of water resource.
-
C.
hasHydrologicalRegime
Indicates that one entity (typically a water body or hydrological system) is characterized by, or associated with, a particular pattern or regime of water flow and levels over time.
-
D.
hasWaterResourceRole
Indicates that an entity participates in a water-related resource context with a specified functional role (e.g., source, user, manager, or regulator of water resources).
-
E.
isPartOfWaterSystem
Indicates that one entity is a component, segment, or subsystem within a larger water distribution, treatment, or management system.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f735b08190aec8331f54817462 |
completed | April 18, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:09 a.m.