Triple
T3098405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taygete |
E64655
|
entity |
| Predicate | hasMeanDistanceFromJupiter |
P45907
|
FINISHED |
| Object | about 23 million km |
—
|
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: about 23 million km | Statement: [Taygete, hasMeanDistanceFromJupiter, about 23 million km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeanDistanceFromJupiter Context triple: [Taygete, hasMeanDistanceFromJupiter, about 23 million km]
-
A.
closestApproachDistanceToJupiter
Indicates the minimum distance an object comes to Jupiter during its trajectory or orbit.
-
B.
hasMeanDistanceFromSun
Indicates that an entity (typically a celestial body) is characterized by a specific average distance from the Sun.
-
C.
distanceFromEarth
Indicates the measured or calculated spatial separation between an entity and the planet Earth.
-
D.
radiusRelativeToJupiter
Indicates that the radius of one object is expressed as a value relative to the radius of Jupiter.
-
E.
massRelativeToJupiter
Indicates the mass of an entity expressed as a ratio or multiple of Jupiter’s mass.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23dde988190a1aca020685594f3 |
completed | March 8, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ad9df06ed88190809f0683122caa5a |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f6fef48190b13898be383a246b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:03 p.m.