Triple
T4618801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | observable universe |
E100929
|
entity |
| Predicate | hasHomogeneityProperty |
P14261
|
FINISHED |
| Object | approximately homogeneous on large scales |
—
|
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: approximately homogeneous on large scales | Statement: [observable universe, hasHomogeneityProperty, approximately homogeneous on large scales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomogeneityProperty Context triple: [observable universe, hasHomogeneityProperty, approximately homogeneous on large scales]
-
A.
isHomogeneous
chosen
Indicates that all elements or parts involved share the same type, nature, or characteristics, without significant variation among them.
-
B.
haveProperty
Indicates that an entity possesses, exhibits, or is characterized by a particular property or attribute.
-
C.
hasProportion
Indicates that one entity stands in a specified ratio, fraction, or relative share to another entity or whole.
-
D.
haveDualityProperty
Indicates that an entity possesses a characteristic or state that inherently consists of two complementary, contrasting, or coexisting aspects.
-
E.
hasDistinctHierarchy
Indicates that one entity is organized under a hierarchical structure that is clearly separate and non-overlapping from another entity’s hierarchy.
- 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.