Triple
T32043790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milne universe model |
E818283
|
entity |
| Predicate | hasScaleFactor |
P14260
|
FINISHED |
| Object | a(t) ∝ t |
—
|
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: a(t) ∝ t | Statement: [Milne universe model, hasScaleFactor, a(t) ∝ t]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScaleFactor Context triple: [Milne universe model, hasScaleFactor, a(t) ∝ t]
-
A.
hasScaleFactorForm
chosen
Indicates that one entity is represented as a scaled version or proportional form of another, typically via a specific scale factor.
-
B.
hasScale
Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
-
C.
hasScaleSize
Indicates that one entity possesses a scale characterized by a particular size or magnitude in relation to another entity or value.
-
D.
hasScaleHeight
Indicates the characteristic vertical distance over which a quantity (such as pressure, density, or concentration) decreases by a fixed factor in a stratified medium.
-
E.
hasScaleParameter
Indicates that an entity is associated with a scale parameter that controls the magnitude or dispersion of a related quantity or distribution.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 1, 2026, 12:19 a.m.