Triple
T5658916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaalserberg |
E124686
|
entity |
| Predicate | currentHighestPointOf |
P28959
|
FINISHED |
| Object | European Netherlands only |
—
|
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: European Netherlands only | Statement: [Vaalserberg, currentHighestPointOf, European Netherlands only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentHighestPointOf Context triple: [Vaalserberg, currentHighestPointOf, European Netherlands only]
-
A.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
B.
areaPeak
Indicates that a specified location or region is the highest point (peak) within a given area or spatial extent.
-
C.
territorialPeak
chosen
Indicates the highest geographical point located within the territory or jurisdiction of a given entity.
-
D.
highestPointRegion
Indicates that one location is the highest point within a specified region.
-
E.
highestElevationApprox
Indicates that an entity has an approximate value for the maximum elevation reached within its spatial or conceptual extent.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c0236d3f94819095111c41a323612d |
completed | March 22, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69c021ba4ec481909db8cdbf0e907dd6 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:42 p.m.