Triple
T4384261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemaître–Hubble law |
E99201
|
entity |
| Predicate | scaleDependence |
P37472
|
FINISHED |
| Object | Hubble constant may vary with cosmological model and epoch |
—
|
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: Hubble constant may vary with cosmological model and epoch | Statement: [Lemaître–Hubble law, scaleDependence, Hubble constant may vary with cosmological model and epoch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleDependence Context triple: [Lemaître–Hubble law, scaleDependence, Hubble constant may vary with cosmological model and epoch]
-
A.
accuracyDependsOn
Indicates that the accuracy of one entity or process is contingent upon, or influenced by, another entity or factor.
-
B.
associatedScale
Indicates that one entity is linked or connected to a particular scale used to measure, classify, or evaluate it.
-
C.
energyScaleBehavior
chosen
Indicates how a quantity or system changes or responds when the overall energy scale of the situation is varied.
-
D.
dependency
Indicates that one entity relies on, is conditioned by, or cannot function or exist properly without another entity.
-
E.
magnitudeScale
Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35263970c8190904ee20d81715833 |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:19 p.m.