Triple
T2373479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markov chain Monte Carlo |
E46140
|
entity |
| Predicate | hasImprovement |
P6555
|
FINISHED |
| Object | parallel tempering |
—
|
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: parallel tempering | Statement: [Markov chain Monte Carlo, hasImprovement, parallel tempering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImprovement Context triple: [Markov chain Monte Carlo, hasImprovement, parallel tempering]
-
A.
improvesOn
chosen
Indicates that one entity enhances, refines, or performs better than another entity, typically by addressing its limitations or increasing its effectiveness.
-
B.
hasUpgrade
Indicates that one entity possesses, includes, or is associated with an improved or enhanced version of another entity.
-
C.
claimsToImprove
Indicates that one entity asserts or promises that it will enhance, benefit, or make another entity better in some way.
-
D.
updated
Indicates that an entity has been modified or brought to a more recent state compared to its previous version or status.
-
E.
isUpdated
Indicates that an entity has been modified or brought to a more recent state compared to its previous version or a reference point.
- 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.