Triple
T9437774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awash River |
E227557
|
entity |
| Predicate | climateZoneAlongRiver |
P77118
|
FINISHED |
| Object | highland subtropical |
—
|
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: highland subtropical | Statement: [Awash River, climateZoneAlongRiver, highland subtropical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateZoneAlongRiver Context triple: [Awash River, climateZoneAlongRiver, highland subtropical]
-
A.
climateOfBasin
Indicates the prevailing climate characteristics associated with a particular basin or drainage basin.
-
B.
shareClimateZones
Indicates that two entities are located in regions classified under the same climate zone or zones.
-
C.
hasHydrologicalRegime
Indicates that one entity (typically a water body or hydrological system) is characterized by, or associated with, a particular pattern or regime of water flow and levels over time.
-
D.
locatedInRiverArea
Indicates that one entity is situated within the geographic area occupied by, adjacent to, or directly associated with a particular river.
-
E.
climatologicalRegion
chosen
Indicates that one entity is a climatological region associated with, or characterizing the climate of, another entity.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7edff5e881909b72976e8909ba4b |
completed | April 1, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69cca55548488190b171ae695a3212de |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:50 p.m.