Triple
T5259662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galatea |
E118791
|
entity |
| Predicate | mass_estimate |
P7301
|
FINISHED |
| Object | on the order of 2×10^18 kg |
—
|
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: on the order of 2×10^18 kg | Statement: [Galatea, mass_estimate, on the order of 2×10^18 kg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mass_estimate Context triple: [Galatea, mass_estimate, on the order of 2×10^18 kg]
-
A.
approximateMass
chosen
Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
-
B.
massRelativeToEarth
Indicates the comparative amount of mass an entity has relative to the mass of Earth.
-
C.
dynamicalMass_solarMasses
Indicates the dynamical mass of an object or system expressed in units of the Sun’s mass.
-
D.
stellarMass
Indicates the amount of mass an astronomical object has that is contained in its stars.
-
E.
approximateWeightInPounds
Indicates the estimated weight of an entity expressed in pounds, rather than an exact measured value.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bcced6881909bdb7ac5471a37fe |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.