Triple
T8067959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colorado River Compact |
E188292
|
entity |
| Predicate | basinStateCount |
P80324
|
FINISHED |
| Object | 7 |
—
|
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 | Statement: [Colorado River Compact, basinStateCount, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basinStateCount Context triple: [Colorado River Compact, basinStateCount, 7]
-
A.
basinState
Indicates that a state contains or encompasses the drainage basin or watershed of a particular river or water system.
-
B.
basinIncludesRegion
Indicates that a drainage basin or watershed spatially contains or encompasses a specified region within its boundaries.
-
C.
basinCountry
Indicates the country or countries within whose territory a river basin or drainage area is primarily located or through which it significantly extends.
-
D.
hasBasinPopulation
Indicates that a geographic basin is associated with a specific number of inhabitants living within its area.
-
E.
basinServed
Indicates that a particular basin is supplied, drained, or otherwise functionally supported by another entity (such as a river, watershed, or infrastructure 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.