Triple
T14970965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mylopotamos Beach |
E373315
|
entity |
| Predicate | hasSeaDepth |
P42757
|
FINISHED |
| Object | relatively deep close to shore |
—
|
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: relatively deep close to shore | Statement: [Mylopotamos Beach, hasSeaDepth, relatively deep close to shore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeaDepth Context triple: [Mylopotamos Beach, hasSeaDepth, relatively deep close to shore]
-
A.
seaDepth
Indicates the measured vertical distance from the sea surface down to the seafloor at a given location.
-
B.
seaDepthRange
Indicates the minimum and maximum water depth values associated with a given sea or marine location.
-
C.
hasWaterDepthCategory
chosen
Indicates the classification of something based on the range or category of its water depth.
-
D.
isShallowSea
Indicates that a body of water is a shallow marine area, typically near coasts or continental shelves, rather than deep ocean.
-
E.
oceanDepthBelow
Indicates that one location or point in the ocean is situated at a greater depth (deeper below the surface) than another.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e59a7c8190a1634a706ea68fda |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:49 a.m.