Triple
T2373645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ising model |
E46143
|
entity |
| Predicate | probabilityDistributionForm |
P9754
|
FINISHED |
| Object | P(s) ∝ exp(-βH(s)) |
—
|
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: P(s) ∝ exp(-βH(s)) | Statement: [Ising model, probabilityDistributionForm, P(s) ∝ exp(-βH(s))]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: probabilityDistributionForm Context triple: [Ising model, probabilityDistributionForm, P(s) ∝ exp(-βH(s))]
-
A.
definesProbability
Indicates that one entity specifies or assigns the probability value associated with another entity or event.
-
B.
distribution
Indicates the act or pattern of giving, delivering, or spreading something from one source to multiple recipients or locations.
-
C.
hasDistributionFunction
chosen
Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
-
D.
distributionPattern
Indicates the characteristic way in which something is spread, arranged, or allocated across a space, group, or set.
-
E.
previousDistribution
Indicates that one distribution event or state occurred immediately before another in a sequence.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:56 p.m.