Triple
T25078683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiwan provincial highway system |
E628121
|
entity |
| Predicate | includesMountainRoutes |
P170931
|
FINISHED |
| Object | Central Mountain Range area |
—
|
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: Central Mountain Range area | Statement: [Taiwan provincial highway system, includesMountainRoutes, Central Mountain Range area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMountainRoutes Context triple: [Taiwan provincial highway system, includesMountainRoutes, Central Mountain Range area]
-
A.
isMountainRoad
Indicates that a given road is classified as a mountain road, typically traversing or situated within mountainous terrain.
-
B.
controlledMountainPasses
Indicates that an entity had authority over and could regulate access through specific mountain passes.
-
C.
mountainSupported
Indicates that one entity provides physical or structural support to a mountain or mountainous formation.
-
D.
hasClimbingRoutesOn
Indicates that one entity possesses or features climbing routes located on another entity (such as a rock face, wall, or structure).
-
E.
hasMountainScenery
Indicates that a place or area features views or landscapes dominated by mountains.
- 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_69e2ff2e73f881909992bf3eda5c25cb |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6984bb55c8190862eb8796868d188 |
completed | May 3, 2026, 12:35 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f6978ec27c8190a488e1f9c2566d38 |
completed | May 3, 2026, 12:32 a.m. |
Created at: April 18, 2026, 6:21 a.m.