Triple
T12220087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USGS Skanee |
E291189
|
entity |
| Predicate | hasElevationReference |
P6557
|
FINISHED |
| Object | sea level |
—
|
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: sea level | Statement: [USGS Skanee, hasElevationReference, sea level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElevationReference Context triple: [USGS Skanee, hasElevationReference, sea level]
-
A.
hasElevationFeature
Indicates that one entity possesses or is characterized by a particular elevation-related feature or attribute, such as height, altitude, or vertical relief.
-
B.
elevationType
chosen
Indicates the kind or classification of elevation associated with an entity, such as how its height or altitude is characterized.
-
C.
usesMetricElevation
Indicates that an entity’s elevation is expressed using metric units (such as meters) rather than non-metric units.
-
D.
hasTopElevation
Indicates that an entity has a specified maximum or highest elevation value.
-
E.
elevationBy
Indicates a relationship where one entity raises, increases, or enhances the level, status, or intensity of another entity.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.