Triple
T7903607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | third law of thermodynamics |
E183516
|
entity |
| Predicate | concernsQuantity |
P79687
|
FINISHED |
| Object | entropy |
—
|
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: entropy | Statement: [third law of thermodynamics, concernsQuantity, entropy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsQuantity Context triple: [third law of thermodynamics, concernsQuantity, entropy]
-
A.
usesQuantity
Indicates that one entity employs or applies a specified amount or measure of another entity in performing an action or fulfilling a function.
-
B.
mainQuantity
Indicates that the associated value represents the primary or principal quantity in a given context or relationship.
-
C.
orderQuantity
Indicates the specific amount or number of items requested or scheduled in an order transaction.
-
D.
quantifies
Indicates that one entity expresses or specifies the amount, number, or degree of another entity.
-
E.
quantificationType
Indicates the specific kind or category of quantity or measurement being applied in a given context.
- F. None of above. chosen
Provenance (4 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a41b0fc81909890f2e4f432a5cf |
completed | March 31, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:02 p.m.