Triple
T13210276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Owens River |
E314470
|
entity |
| Predicate | hasRestorationType |
P75783
|
FINISHED |
| Object | river restoration |
—
|
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 restoration | Statement: [Lower Owens River, hasRestorationType, river restoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRestorationType Context triple: [Lower Owens River, hasRestorationType, river restoration]
-
A.
hasRestoration
Indicates that an entity has undergone, is undergoing, or is associated with a process of repair, renewal, or restoration.
-
B.
hasRestorationApproach
Indicates the method or strategy used to restore or rehabilitate something to a desired state.
-
C.
restorationType
chosen
Indicates the specific kind or category of restoration applied to an entity, such as the method, scope, or approach used to return it to a prior or improved state.
-
D.
hasRestorationActivities
Indicates that an entity carries out, is involved in, or is associated with actions aimed at restoring or rehabilitating another entity or resource.
-
E.
hasReconstructionType
Indicates the specific method or category of reconstruction applied to an object, structure, or dataset.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9e072c8190b66e2c2430628ed0 |
completed | April 10, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:17 p.m.