Triple
T6492098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cimarron River |
E148063
|
entity |
| Predicate | flowsThroughEcoregion |
P948
|
FINISHED |
| Object | shortgrass prairie |
—
|
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: shortgrass prairie | Statement: [Cimarron River, flowsThroughEcoregion, shortgrass prairie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowsThroughEcoregion Context triple: [Cimarron River, flowsThroughEcoregion, shortgrass prairie]
-
A.
flowsIntoEcoregion
Indicates that a body of water or watercourse moves into and enters the boundaries of a specified ecoregion.
-
B.
ecoregion
chosen
Indicates that one entity is located within, associated with, or belongs to the same ecological region as another entity.
-
C.
ecoregionInfluence
Indicates that one ecoregion affects or shapes the environmental characteristics, processes, or conditions of another area or system.
-
D.
ecoregionsInclude
Indicates that one ecoregion spatially contains or encompasses another ecoregion or area within its boundaries.
-
E.
formsEcotoneBetween
Indicates that one entity creates or constitutes a transitional boundary zone (ecotone) between two distinct ecological or environmental communities.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9bf9208190b0957eda06ed3d65 |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:53 p.m.