Triple
T13111328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alsea Highway |
E310977
|
entity |
| Predicate | traversesLandscape |
P30397
|
FINISHED |
| Object | forested coastal landscapes |
—
|
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: forested coastal landscapes | Statement: [Alsea Highway, traversesLandscape, forested coastal landscapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traversesLandscape Context triple: [Alsea Highway, traversesLandscape, forested coastal landscapes]
-
A.
flowsThroughLandscape
Indicates that something (typically a fluid or moving entity) passes through or traverses a particular landscape or terrain.
-
B.
traversesValley
Indicates that an entity moves through or across a valley, passing from one side or area to another.
-
C.
hasLandscapeFeatures
Indicates that an entity possesses or includes specific landscape-related characteristics or elements.
-
D.
travelsThrough
Indicates that something moves along, passes across, or is routed via a particular path, medium, or location.
-
E.
roadTraverses
chosen
Indicates that a road passes through, crosses, or extends across a specified geographic area or feature.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817e4f408190b77c198b4157d77a |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:05 p.m.