Triple
T26700200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Luis Rey River |
E673131
|
entity |
| Predicate | watershedAuthority |
P16695
|
FINISHED |
| Object | County of San Diego |
—
|
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: County of San Diego | Statement: [San Luis Rey River, watershedAuthority, County of San Diego]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: watershedAuthority Context triple: [San Luis Rey River, watershedAuthority, County of San Diego]
-
A.
hasWatershedCouncil
Indicates that an entity is associated with or served by a specific watershed council responsible for managing or overseeing its watershed area.
-
B.
waterManagementAuthority
chosen
Indicates that an entity has official responsibility for overseeing, regulating, or managing water resources, services, or infrastructure for a given area or system.
-
C.
watershedType
Indicates the classification or category of a watershed associated with an entity (e.g., by hydrologic, ecological, or management type).
-
D.
basinAgency
Indicates that an agency has jurisdiction over, manages, or is responsible for a particular basin or watershed area.
-
E.
watershedName
Indicates the name assigned to the watershed with which an entity is associated.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 3:31 a.m.