Triple
T4618798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | observable universe |
E100929
|
entity |
| Predicate | mayBeSmallerThan |
P11452
|
FINISHED |
| Object | entire universe |
—
|
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: entire universe | Statement: [observable universe, mayBeSmallerThan, entire universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeSmallerThan Context triple: [observable universe, mayBeSmallerThan, entire universe]
-
A.
smallerThan
chosen
Indicates that one entity has a strictly lesser size, dimension, or magnitude than another entity.
-
B.
largerThan
Indicates that one entity has a greater size, extent, or magnitude than another entity.
-
C.
mayDifferFrom
Indicates that one entity is allowed or expected to be different from another entity, without requiring them to be identical.
-
D.
weakerThan
Indicates that one entity has less strength, power, or effectiveness than another entity.
-
E.
isSmall
Indicates that one entity has a size that is relatively small, either in absolute terms or compared to a reference standard or another entity.
- 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.