Triple
T11356305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Madre Oriental foothills |
E268960
|
entity |
| Predicate | elevationRelativeToMountains |
P221
|
FINISHED |
| Object | lower slopes |
—
|
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: lower slopes | Statement: [Sierra Madre Oriental foothills, elevationRelativeToMountains, lower slopes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationRelativeToMountains Context triple: [Sierra Madre Oriental foothills, elevationRelativeToMountains, lower slopes]
-
A.
elevationAboveValley
Indicates the vertical height or altitude of an entity measured relative to the lowest point of the surrounding valley.
-
B.
relativeToMountEverest
Indicates a relationship that compares or situates something in reference to Mount Everest, such as in terms of location, height, scale, or significance.
-
C.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
D.
elevationBy
Indicates a relationship where one entity raises, increases, or enhances the level, status, or intensity of another entity.
-
E.
elevation
chosen
Indicates the vertical height or altitude of one entity relative to a reference level or 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.