Triple
T6207177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Joaquin River Conservancy |
E138776
|
entity |
| Predicate | typeOfAreaManaged |
P30175
|
FINISHED |
| Object | river parkway |
—
|
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: river parkway | Statement: [San Joaquin River Conservancy, typeOfAreaManaged, river parkway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAreaManaged Context triple: [San Joaquin River Conservancy, typeOfAreaManaged, river parkway]
-
A.
typeOfAreaRepresented
Indicates that one entity specifies the kind or category of area that another entity represents.
-
B.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
C.
typeOfJurisdictionManaged
Indicates the specific kind or category of jurisdiction that an entity is responsible for managing or overseeing.
-
D.
typeOfProtectedAreasManaged
chosen
Indicates the specific categories or kinds of protected areas that an entity is responsible for managing.
-
E.
areaServedType
Indicates the type or category of area that is served by an entity or service.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06270b8d08190a81bc03c8175b989 |
completed | March 22, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.