Triple
T1564830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planck time |
E33407
|
entity |
| Predicate | isMuchSmallerThan |
P11452
|
FINISHED |
| Object | timescales accessible to experiments |
—
|
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: timescales accessible to experiments | Statement: [Planck time, isMuchSmallerThan, timescales accessible to experiments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMuchSmallerThan Context triple: [Planck time, isMuchSmallerThan, timescales accessible to experiments]
-
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.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
D.
isHigherThan
Indicates that one entity has a greater value, level, or position than another entity.
-
E.
isLessEfficientThan
Indicates that one entity performs a task or uses resources with lower efficiency compared to 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90fccd4b48190a44012888a00af7f |
completed | March 5, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69a907b872f0819096b3df6ad502c63e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.