Triple
T35992988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anzalduas Dam |
E1040899
|
entity |
| Predicate | watercourseSeparatedFrom |
P195840
|
FINISHED |
| Object | downstream Rio Grande channel |
—
|
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: downstream Rio Grande channel | Statement: [Anzalduas Dam, watercourseSeparatedFrom, downstream Rio Grande channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: watercourseSeparatedFrom Context triple: [Anzalduas Dam, watercourseSeparatedFrom, downstream Rio Grande channel]
-
A.
riverSeparatingFrom
Indicates that one river branches off or diverges from another river, creating a separation between their flow paths.
-
B.
separatesRiver
Indicates that a river serves as a dividing line or boundary between two entities.
-
C.
isWatercourseOf
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
-
D.
watercourseSectionOf
Indicates that a watercourse segment forms a constituent part of a larger watercourse.
-
E.
isMajorWatercourseOf
Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
| PDg | Predicate description generation | batch_69fde9fb68388190ada4a7018e2a2f76 |
completed | May 8, 2026, 1:49 p.m. |
Created at: May 3, 2026, 4:07 p.m.