Triple
T501692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calypso Deep |
E10415
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | RV Calypso |
E62376
|
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: RV Calypso | Statement: [Calypso Deep, namedAfter, RV Calypso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RV Calypso Context triple: [Calypso Deep, namedAfter, RV Calypso]
-
A.
RV Calypso
chosen
RV Calypso was Jacques Cousteau’s famous oceanographic research vessel, renowned for pioneering undersea exploration and marine science.
-
B.
Granma yacht
The Granma yacht is the vessel that carried Fidel Castro and his revolutionaries from Mexico to Cuba in 1956, marking the beginning of the Cuban Revolution.
-
C.
Durham boat
A Durham boat is a flat-bottomed, shallow-draft cargo vessel historically used on North American rivers, notably employed by George Washington to transport troops across the Delaware River during the American Revolutionary War.
-
D.
Ringvaart
The Ringvaart is a canal in the Netherlands that encircles the Haarlemmermeer polder and connects various waterways in the region.
-
E.
Aeromar
Aeromar is a Mexican regional airline that primarily operates domestic and short-haul international flights, with a major operational base in Mexico City.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f131e2148190afd43402f505c73e |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a48a79ef808190a9dc34b58e16a160 |
completed | March 1, 2026, 6:50 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.