Triple
T3740934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galileo spacecraft |
E79694
|
entity |
| Predicate | massInJupiterOrbit |
P51187
|
FINISHED |
| Object | about 1180 kilograms |
—
|
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 1180 kilograms | Statement: [Galileo spacecraft, massInJupiterOrbit, about 1180 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massInJupiterOrbit Context triple: [Galileo spacecraft, massInJupiterOrbit, about 1180 kilograms]
-
A.
massRelativeToJupiter
Indicates the mass of an entity expressed as a ratio or multiple of Jupiter’s mass.
-
B.
radiusRelativeToJupiter
Indicates that the radius of one object is expressed as a value relative to the radius of Jupiter.
-
C.
hasMeanDistanceFromJupiter
Indicates that one entity has a specified average distance from the planet Jupiter.
-
D.
massRelativeToEarth
Indicates the comparative amount of mass an entity has relative to the mass of Earth.
-
E.
relativeSizeToEarth
Indicates the comparative size of an entity when measured relative to the size of Earth.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb549490819084ebe69aae5ccf95 |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc048f28c819092bed16a95a3cac1 |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc198b95481908ca6e4e875aae446 |
completed | March 8, 2026, 6:36 p.m. |
Created at: March 8, 2026, 3:34 p.m.