Triple
T5201688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titania |
E117406
|
entity |
| Predicate | rankBySizeAmongMoons |
P62433
|
FINISHED |
| Object | eighth-largest moon in the Solar System |
—
|
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: eighth-largest moon in the Solar System | Statement: [Titania, rankBySizeAmongMoons, eighth-largest moon in the Solar System]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankBySizeAmongMoons Context triple: [Titania, rankBySizeAmongMoons, eighth-largest moon in the Solar System]
-
A.
areLargestMoonsOf
Indicates that the referenced moons are the largest natural satellites belonging to the specified celestial bodies.
-
B.
hasLargestMoon
Indicates that, among a set of compared entities, this entity possesses the moon with the greatest size.
-
C.
numberOfKnownMoons
Indicates the count of moons that are currently known to orbit a given celestial body.
-
D.
numberOfMoons
Indicates the quantity of moons that an astronomical body possesses.
-
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.