Triple
T3839708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1036 Ganymed |
E93420
|
entity |
| Predicate | orbitalPeriod_years |
P9857
|
FINISHED |
| Object | 4.47 |
—
|
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: 4.47 | Statement: [1036 Ganymed, orbitalPeriod_years, 4.47]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orbitalPeriod_years Context triple: [1036 Ganymed, orbitalPeriod_years, 4.47]
-
A.
hasOrbitalPeriod
Indicates that one entity completes a full orbit around another entity within a specified duration.
-
B.
hasAverageYearLength
chosen
Indicates that one entity has a specified average duration for its year (orbital period), typically measured over time.
-
C.
hasRotationPeriod
Indicates that one entity has a specified duration for completing a full rotation around its own axis.
-
D.
hasOrbitalResonanceWith
Indicates that two orbiting bodies have orbital periods in a simple integer ratio, causing their gravitational influences to repeat in a regular, synchronized pattern.
-
E.
orbitalEccentricity
Indicates the degree to which an orbit deviates from a perfect circle, quantifying how elongated the orbital path is.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeba1535c8190b36e2ab2d4514b54 |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74dcecc819098285483ec721b40 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.