Triple
T35535059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahara Beach |
E1026909
|
entity |
| Predicate | hasApproximateWaterDepth |
P42757
|
FINISHED |
| Object | shallow |
—
|
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: shallow | Statement: [Sahara Beach, hasApproximateWaterDepth, shallow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateWaterDepth Context triple: [Sahara Beach, hasApproximateWaterDepth, shallow]
-
A.
hasWaterDepthCategory
chosen
Indicates the classification of something based on the range or category of its water depth.
-
B.
hasAverageWaterDepth
Indicates that an entity is associated with a specified mean or typical depth of water over a given area or period.
-
C.
hasWaterDepthVariation
Indicates that the water body or location exhibits differences in depth across its area or over time.
-
D.
depthBelowSurfaceInMeters
Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
-
E.
minimumWaterDepth
Indicates the smallest water depth at which the related object, activity, or condition is valid, safe, or applicable.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdf5d05cc481909ec9e1b1f0784279 |
completed | May 8, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69fdf0cdd6948190838864ab3120dfa6 |
completed | May 8, 2026, 2:18 p.m. |
Created at: May 3, 2026, 4:04 p.m.