Triple
T5266801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Planet II |
E118956
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | One Ocean |
E150414
|
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: One Ocean | Statement: [Blue Planet II, hasPart, One Ocean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Ocean Context triple: [Blue Planet II, hasPart, One Ocean]
-
A.
Oceano
Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
-
B.
Okeanos
Okeanos is the primordial Greek god personifying the great encircling river believed to surround the world.
-
C.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
-
D.
Planet Ocean
chosen
Planet Ocean is a documentary film co-directed by Yann Arthus-Bertrand that explores the beauty, complexity, and environmental importance of the world’s oceans.
-
E.
Ocean Unite
Ocean Unite is an ocean conservation initiative focused on protecting and restoring the world’s oceans through advocacy, partnerships, and policy change.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bfabf9c819098f961243c31e508 |
completed | March 20, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe8e5c948190a807a99bd35f710d |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:51 p.m.