Triple
T11294427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | detailed balance principle |
E267413
|
entity |
| Predicate | goalInMCMC |
P64674
|
FINISHED |
| Object | to make target distribution invariant under Markov chain transitions |
—
|
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: to make target distribution invariant under Markov chain transitions | Statement: [detailed balance principle, goalInMCMC, to make target distribution invariant under Markov chain transitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalInMCMC Context triple: [detailed balance principle, goalInMCMC, to make target distribution invariant under Markov chain transitions]
-
A.
machineGoal
Indicates that a machine or automated system has a specific objective, target state, or outcome it is intended or programmed to achieve.
-
B.
goalNumber
Indicates that an entity is associated with a specific target or objective quantified as a number.
-
C.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
D.
laterGoal
Indicates that one goal occurs or is intended to be achieved after another goal in time.
-
E.
aimOf
chosen
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e98b149481909f432a6b9ef8bfbb |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.