Triple
T19733241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Rio Grande Basin |
E473907
|
entity |
| Predicate | includesRiverReach |
P165
|
FINISHED |
| Object | upper Rio Grande |
—
|
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: upper Rio Grande | Statement: [Upper Rio Grande Basin, includesRiverReach, upper Rio Grande]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesRiverReach Context triple: [Upper Rio Grande Basin, includesRiverReach, upper Rio Grande]
-
A.
impactedRiver
Indicates that one entity has caused a significant effect, alteration, or disturbance to a river or its conditions.
-
B.
betweenRiver
Indicates a spatial relationship where something is located in the area separating two rivers or lies in the intermediate region defined by them.
-
C.
isOnlyNavigableRiverOf
Indicates that one river is the sole river that can be navigated within a specified area or context.
-
D.
hasRiver
chosen
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
E.
operatesOnRiver
Indicates that an entity conducts its operations or activities on, along, or directly involving a river.
- F. None of above.
Provenance (3 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e651596b98819090bcaf05c7b74555 |
completed | April 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.