Triple
T24771027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountains of North Korea |
E619721
|
entity |
| Predicate | dominantLandformOf |
P157718
|
FINISHED |
| Object | North Korea |
—
|
NE NERFINISHED |
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: North Korea | Statement: [Mountains of North Korea, dominantLandformOf, North Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dominantLandformOf Context triple: [Mountains of North Korea, dominantLandformOf, North Korea]
-
A.
formedProminentLandform
Indicates that an agent or process created or significantly shaped a major, easily recognizable physical landform.
-
B.
isMostTopographicallyProminentIn
Indicates that an entity has the greatest topographic prominence within a specified area or group, exceeding that of all comparable entities.
-
C.
containsHighestPointOf
Indicates that one entity includes within its boundaries the location of the highest point of another entity.
-
D.
hasMainPeakElevation_m
Indicates the relationship that specifies the elevation, in meters, of the main or highest peak associated with an entity.
-
E.
hasHighestPointAboveSeaLevel
Indicates that the highest point of one entity is located at a greater elevation above sea level than that of another entity.
- 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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f44a3adb7c8190941572f718b3b93c |
completed | May 1, 2026, 6:37 a.m. |
Created at: April 18, 2026, 4:29 a.m.