Triple
T501711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calypso Deep |
E10415
|
entity |
| Predicate | marineZone |
P2975
|
FINISHED |
| Object | international waters vicinity of Greece |
—
|
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: international waters vicinity of Greece | Statement: [Calypso Deep, marineZone, international waters vicinity of Greece]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marineZone Context triple: [Calypso Deep, marineZone, international waters vicinity of Greece]
-
A.
marineArea
chosen
Indicates a relationship where an entity is located in, associated with, or relevant to a specific marine or oceanic area.
-
B.
isShallowSea
Indicates that a body of water is a shallow marine area, typically near coasts or continental shelves, rather than deep ocean.
-
C.
hasMarineEcosystem
Indicates that an entity possesses, contains, or is associated with a marine ecosystem as part of its characteristics or environment.
-
D.
bodyOfWater
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
-
E.
locatedInBodyOfWater
Indicates that an entity is situated within or on the surface of a specific body of water.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f131e2148190afd43402f505c73e |
completed | Feb. 28, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69a2edfbb7e0819092cf29c2c68fe8fb |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.