Triple
T31646652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HM type system |
E807599
|
entity |
| Predicate | inferenceAlgorithm |
P172061
|
FINISHED |
| Object | Algorithm W |
—
|
NE NERFINISHED |
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: Algorithm W | Statement: [HM type system, inferenceAlgorithm, Algorithm W]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inferenceAlgorithm Context triple: [HM type system, inferenceAlgorithm, Algorithm W]
-
A.
supportsInferenceOf
Indicates that one entity provides a logical basis or justification for concluding or deriving another entity.
-
B.
predictionAlgorithm
Indicates a relationship where an algorithm generates predictions or forecasts about outcomes based on input data or observed patterns.
-
C.
algorithmType
Indicates the specific kind or category of algorithm associated with an entity or process.
-
D.
relatedAlgorithm
Indicates that one algorithm has a meaningful connection or association with another algorithm, such as similarity, dependency, or complementary function.
-
E.
usedToInfer
Indicates that one entity serves as a basis or source from which another entity is logically derived or concluded.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a956e9b08190bf83547bba8e8147 |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8036ab481908019f2f071fa406e |
completed | May 3, 2026, 1:42 a.m. |
Created at: April 30, 2026, 10:51 p.m.