Triple
T23417023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevada water law doctrine of prior appropriation |
E560537
|
entity |
| Predicate | priorityDeterminedBy |
P152171
|
FINISHED |
| Object | date of priority |
—
|
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: date of priority | Statement: [Nevada water law doctrine of prior appropriation, priorityDeterminedBy, date of priority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: priorityDeterminedBy Context triple: [Nevada water law doctrine of prior appropriation, priorityDeterminedBy, date of priority]
-
A.
priorityRule
Indicates that one entity is given precedence or higher processing order over another according to a defined rule or policy.
-
B.
planningPriority
Indicates the relative importance or urgency assigned to an item, task, or objective when organizing or scheduling plans.
-
C.
priorityGroup
Indicates that one entity is assigned to, or associated with, a particular level or category of priority relative to others.
-
D.
limitsPriorityOf
Indicates that one entity imposes a maximum allowable priority level on another entity’s priority.
-
E.
typeOfPriority
Indicates the specific priority level or category assigned to something relative to other items or tasks.
- F. None of above. chosen
Provenance (4 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a516d158819081e9710b4e372a21 |
completed | April 29, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:39 p.m.