Triple
T35690020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | beta-Bernoulli process construction |
E1031260
|
entity |
| Predicate | supportsInferenceVia |
P207096
|
FINISHED |
| Object | Markov chain Monte Carlo |
E46140
|
NE 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: Markov chain Monte Carlo | Statement: [beta-Bernoulli process construction, supportsInferenceVia, Markov chain Monte Carlo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsInferenceVia Context triple: [beta-Bernoulli process construction, supportsInferenceVia, Markov chain Monte Carlo]
-
A.
supportsInferenceOf
Indicates that one entity provides a logical basis or justification for concluding or deriving another entity.
-
B.
supportedIn
Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
-
C.
theorySupports
Indicates that one theory provides justification, evidence, or logical backing for another claim, theory, or proposition.
-
D.
supportsInstruction
Indicates that one entity provides assistance, resources, or functionality that enables or facilitates the instruction or teaching activities of another entity.
-
E.
supportsAt
Indicates that one entity provides assistance, endorsement, or backing to another entity in a specific context, location, or point in time.
- F. None of above. chosen
Provenance (5 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3885e2d3448190a6072d2ecde2eb3f |
completed | June 22, 2026, 12:46 a.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:05 p.m.