Triple
T33511945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dingle temperature |
E858271
|
entity |
| Predicate | inverselyRelatedTo |
P9781
|
FINISHED |
| Object | quantum relaxation time |
—
|
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: quantum relaxation time | Statement: [Dingle temperature, inverselyRelatedTo, quantum relaxation time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inverselyRelatedTo Context triple: [Dingle temperature, inverselyRelatedTo, quantum relaxation time]
-
A.
inverselyProportionalTo
chosen
Indicates that as the value of one quantity increases, the value of the other quantity decreases in such a way that their product remains constant.
-
B.
isInverseOf
Indicates that one relation reverses the direction of another, so that if the original relates A to B, its inverse relates B to A.
-
C.
hasContrastingRelationshipWith
Indicates a relationship in which two entities are opposed, divergent, or markedly different in qualities, roles, or effects.
-
D.
relatesToQuantity
Indicates a relationship where one entity is associated with, depends on, or is characterized by a specific quantity or amount.
-
E.
moreCloselyRelatedTo
Indicates that one entity has a stronger or closer relationship, connection, or similarity to a second entity than to some other reference 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:38 a.m.