Triple
T2706487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WASP-96b |
E59352
|
entity |
| Predicate | massRelativeToJupiter |
P42138
|
FINISHED |
| Object | about half the mass of Jupiter |
—
|
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 half the mass of Jupiter | Statement: [WASP-96b, massRelativeToJupiter, about half the mass of Jupiter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massRelativeToJupiter Context triple: [WASP-96b, massRelativeToJupiter, about half the mass of Jupiter]
-
A.
massRelativeToEarth
Indicates the comparative amount of mass an entity has relative to the mass of Earth.
-
B.
relativeSizeToEarth
Indicates the comparative size of an entity when measured relative to the size of Earth.
-
C.
totalMass_solarMasses
Indicates the total mass of an object or system expressed in units of solar masses (multiples of the Sun’s mass).
-
D.
meanSurfaceGravity_m_per_s2
Indicates the average gravitational acceleration experienced at the surface of an object, measured in meters per second squared.
-
E.
meanDiameter_km
Indicates the average diameter of an object or region measured in kilometers.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda725f24819090e8d936b3d2d5bc |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd9ceec708190aa162399023b2273 |
completed | March 7, 2026, 7:54 a.m. |
Created at: March 6, 2026, 9:55 p.m.