Triple
T34212760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US–California border |
E877701
|
entity |
| Predicate | hasSectionDefinedByRiver |
P200790
|
FINISHED |
| Object | Colorado River |
—
|
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: Colorado River | Statement: [US–California border, hasSectionDefinedByRiver, Colorado River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSectionDefinedByRiver Context triple: [US–California border, hasSectionDefinedByRiver, Colorado River]
-
A.
includesHydrologicalSection
Indicates that one entity contains or encompasses a specific hydrological section as part of its spatial or structural extent.
-
B.
downstreamRiverSection
Indicates that one river section is located downstream from, and receives flow from, another river section.
-
C.
hasLocalNameForRiver
Indicates that an entity specifies the locally used name for a particular river.
-
D.
watercourseSectionOf
Indicates that a watercourse segment forms a constituent part of a larger watercourse.
-
E.
hasCanalSection
Indicates a relationship where one entity includes, contains, or is associated with a specific section or segment of a canal.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ffacdf9f5c8190baef0245edfe87fc |
completed | May 9, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69ffac5e86e08190a1e6da0840a237ad |
completed | May 9, 2026, 9:51 p.m. |
| PDg | Predicate description generation | batch_69ffacdea2408190949dba9edeca4412 |
completed | May 9, 2026, 9:53 p.m. |
Created at: May 1, 2026, 1:55 a.m.