Triple
T38070091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titan |
E950567
|
entity |
| Predicate | rankBySize_inSolarSystemMoons |
P62433
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Titan, rankBySize_inSolarSystemMoons, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankBySize_inSolarSystemMoons Context triple: [Titan, rankBySize_inSolarSystemMoons, 2]
-
A.
rankBySizeAmongMoons
chosen
Indicates the ordinal position of a moon in a size-based ranking relative to other moons.
-
B.
areLargestMoonsOf
Indicates that the referenced moons are the largest natural satellites belonging to the specified celestial bodies.
-
C.
relativePositionAmongMajorMoons
Indicates the ordinal position of a moon relative to the other major moons of the same primary body, typically ordered by distance from the primary or another defined spatial criterion.
-
D.
numberOfMoons
Indicates the quantity of moons that an astronomical body possesses.
-
E.
numberOfKnownMoons
Indicates the count of moons that are currently known to orbit a given celestial body.
- F. None of above.
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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.