Triple
T15689082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Horn |
E380277
|
entity |
| Predicate | trimLevelRelativeToLaramie |
P119769
|
FINISHED |
| Object | below Laramie |
—
|
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: below Laramie | Statement: [Big Horn, trimLevelRelativeToLaramie, below Laramie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trimLevelRelativeToLaramie Context triple: [Big Horn, trimLevelRelativeToLaramie, below Laramie]
-
A.
trimLevel
Indicates the specific configuration or package level of features or options applied to an item, typically distinguishing variants within the same base model.
-
B.
trimLevelAbove
Indicates that one entity’s trim level is higher or more upgraded than another’s.
-
C.
trailheadElevation
Indicates the elevation at which a trail begins, typically measured at its starting point or trailhead.
-
D.
elevationAboveLake
Indicates the vertical height or altitude of something relative to the surface level of a specified lake.
-
E.
isOnHighPlains
Indicates that something is located on or situated within a region of elevated, relatively flat high plains.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4cee5481908699fbb2b7bdd2f6 |
completed | April 16, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69deda8c856c8190882330114f9a1a5f |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:44 a.m.