Triple
T5201740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariel |
E117407
|
entity |
| Predicate | relativeBrightnessAmongUranianMoons |
P62437
|
FINISHED |
| Object | one of the brightest |
—
|
LITERAL 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 of the brightest | Statement: [Ariel, relativeBrightnessAmongUranianMoons, one of the brightest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeBrightnessAmongUranianMoons Context triple: [Ariel, relativeBrightnessAmongUranianMoons, one of the brightest]
-
A.
brightnessComparedToJupiter
Indicates how the brightness of one object compares to that of Jupiter.
-
B.
areLargestMoonsOf
Indicates that the referenced moons are the largest natural satellites belonging to the specified celestial bodies.
-
C.
numberOfKnownMoons
Indicates the count of moons that are currently known to orbit a given celestial body.
-
D.
areFirstDiscoveredMoonsOf
Indicates that the related entities are moons that were the first ones discovered orbiting a particular celestial body.
-
E.
isOneOfMoonsOf
Indicates that the subject entity is one of the natural satellites (moons) that orbit the object entity.
- F. None of above. chosen
Provenance (4 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7ad9bdd88190ae8aa6f4aba695a7 |
completed | March 20, 2026, 4:50 p.m. |
Created at: March 20, 2026, 1:47 p.m.