Triple
T7064020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yser River |
E164297
|
entity |
| Predicate | terrainTypeAlongCourse |
P9701
|
FINISHED |
| Object | coastal plain |
—
|
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: coastal plain | Statement: [Yser River, terrainTypeAlongCourse, coastal plain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terrainTypeAlongCourse Context triple: [Yser River, terrainTypeAlongCourse, coastal plain]
-
A.
terrainFeature
Indicates a relationship where one entity is a natural or constructed landform or surface characteristic associated with a given location or area.
-
B.
landscapeType
chosen
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
C.
hillType
Indicates the specific classification or category of a hill based on its form, characteristics, or context.
-
D.
terrainIncludes
Indicates that a specified terrain area contains or encompasses another geographic or environmental feature within its boundaries.
-
E.
hasBeginnerTerrain
Indicates that something provides or includes terrain or areas suitable for beginners.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bdc1f08190975fcdbbb1854d1e |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:38 p.m.