Triple
T8067974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colorado River Compact |
E188292
|
entity |
| Predicate | lowerBasinAllocation |
P80327
|
FINISHED |
| Object | 7.5 million acre-feet per year |
—
|
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: 7.5 million acre-feet per year | Statement: [Colorado River Compact, lowerBasinAllocation, 7.5 million acre-feet per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerBasinAllocation Context triple: [Colorado River Compact, lowerBasinAllocation, 7.5 million acre-feet per year]
-
A.
basin
Indicates a geographic area where surface water drains into a common outlet, such as a river, lake, or ocean.
-
B.
basinPartOf
Indicates that one basin is a component or subdivision of a larger basin or basin system.
-
C.
basinAgency
Indicates that an agency has jurisdiction over, manages, or is responsible for a particular basin or watershed area.
-
D.
drainageBasin
Indicates the area of land where all precipitation and surface water flow are collected and drained toward a particular river, lake, or other water body.
-
E.
basinState
Indicates that a state contains or encompasses the drainage basin or watershed of a particular river or water system.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff8a4fc8190a97fc7111ca7ec4d |
completed | March 31, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14be17208190bb51c3dfcb613f20 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:27 p.m.