Triple
T20679733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S/1989 N 6 |
E508257
|
entity |
| Predicate | isSmallerThan |
P1758
|
FINISHED |
| Object | Triton |
—
|
NE NERFINISHED |
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: Triton | Statement: [S/1989 N 6, isSmallerThan, Triton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triton Context triple: [S/1989 N 6, isSmallerThan, Triton]
-
A.
Triton
chosen
Triton is Neptune’s largest moon, notable for its retrograde orbit and geologically active, icy surface.
-
B.
Triton
Triton is a Greek sea god, often depicted as a merman with a conch shell, who serves as a herald and attendant of the ocean deities.
-
C.
Triton
Triton is Joyent’s open-source container-native cloud infrastructure platform designed for running Docker containers directly on bare metal.
-
D.
Triton
Triton is a Marvel Comics Inhuman known for his aquatic adaptations, including green scaly skin, gills, and the ability to survive and move swiftly underwater.
-
E.
Umbriel
Umbriel is one of Uranus's major icy moons, known for its dark, heavily cratered surface and relatively low reflectivity compared to the planet's other large satellites.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea516b88190b3e90d03fa981a44 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:44 a.m.