Triple
T26796838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sedan, Kansas |
E670976
|
entity |
| Predicate | hasLandscapeTypeNearby |
P85343
|
FINISHED |
| Object | tallgrass 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: tallgrass prairie | Statement: [Sedan, Kansas, hasLandscapeTypeNearby, tallgrass prairie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandscapeTypeNearby Context triple: [Sedan, Kansas, hasLandscapeTypeNearby, tallgrass prairie]
-
A.
hasNearbyLandscapeType
chosen
Indicates that one entity is located close to, or in the vicinity of, a particular type of landscape.
-
B.
hasLandscapeType
Indicates that an entity possesses or is characterized by a particular type or category of landscape.
-
C.
hasLandscapeUse
Indicates that something is used or intended to be used within a landscape or landscaping context.
-
D.
isPartOfLandscape
Indicates that something forms a component or feature within a larger landscape or natural environment.
-
E.
hasLandscapeFeatures
Indicates that an entity possesses or includes specific landscape-related characteristics or elements.
- 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_69eeb31fbd888190a82dac5822e453bc |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 27, 2026, 4:20 a.m.