Triple
T15490530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thalassa |
E378669
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | Oceanus |
E26195
|
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: Oceanus | Statement: [Thalassa, contrastedWith, Oceanus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oceanus Context triple: [Thalassa, contrastedWith, Oceanus]
-
A.
Oceanus
chosen
Oceanus is a primordial Titan in Greek mythology who personifies the vast, encircling river believed to surround the world.
-
B.
Okeanos
Okeanos is the primordial Greek god personifying the great encircling river believed to surround the world.
-
C.
Ocneanu
Ocneanu is a mathematician known for his influential work in subfactor theory, quantum groups, and knot invariants, including contributions leading to the HOMFLY-PT polynomial.
-
D.
Vox Maris
Vox Maris is the Latin motto of the United States Naval War College, reflecting its maritime focus and heritage.
-
E.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365f27c48190822254b6da504d3d |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:48 a.m.