Triple
T629350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ionian Sea |
E15890
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Calypso Deep |
E10415
|
NE 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: Calypso Deep | Statement: [Ionian Sea, contains, Calypso Deep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calypso Deep Context triple: [Ionian Sea, contains, Calypso Deep]
-
A.
Calypso Deep
chosen
Calypso Deep is the deepest known point in the Mediterranean Sea, located in the Hellenic Trench near Greece.
-
B.
Sirena Deep
Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
-
C.
Blue Waters
Blue Waters is a petascale supercomputer system designed for large-scale scientific and engineering research, formerly operated at the National Center for Supercomputing Applications at the University of Illinois.
-
D.
Bluewater
Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
-
E.
Wild Reef
Wild Reef is a major Shedd Aquarium exhibit that recreates a vibrant coral reef ecosystem, featuring sharks, rays, and diverse tropical marine life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e5b5a308190a62165f9275e2f5f |
completed | March 1, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56938be6481909a8eba01f5d856c1 |
completed | March 2, 2026, 10:40 a.m. |
Created at: March 1, 2026, 7:35 p.m.