Triple
T4618778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | observable universe |
E100929
|
entity |
| Predicate | hasMassEstimate |
P7301
|
FINISHED |
| Object | on the order of 10^53 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 10^53 kg | Statement: [observable universe, hasMassEstimate, on the order of 10^53 kg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMassEstimate Context triple: [observable universe, hasMassEstimate, on the order of 10^53 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.
stellarMass
Indicates the amount of mass an astronomical object has that is contained in its stars.
-
C.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
D.
stellarMass_solarMasses
Indicates the mass of a star expressed as a multiple of the Sun’s mass.
-
E.
massUncertainty
Indicates that there is a quantified degree of uncertainty or imprecision associated with the mass value of an entity or system.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e247448190ad92f194cb1127c5 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.