Triple
T34286783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baxter |
E879760
|
entity |
| Predicate | supportsProgrammingMethod |
P205388
|
FINISHED |
| Object | demonstration by moving arms |
—
|
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: demonstration by moving arms | Statement: [Baxter, supportsProgrammingMethod, demonstration by moving arms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsProgrammingMethod Context triple: [Baxter, supportsProgrammingMethod, demonstration by moving arms]
-
A.
supportsProgrammingArtifact
Indicates that one entity provides the necessary functionality, environment, or resources for a programming-related artifact (such as code, tools, or frameworks) to operate or be effectively used.
-
B.
supportsProgramOf
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s program operate or succeed.
-
C.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
-
D.
hasProgrammingModel
Indicates that one entity defines, specifies, or is associated with the programming model used or supported by another entity.
-
E.
requiresProgrammingKnowledge
Indicates that performing the related task or understanding the associated concept depends on having programming knowledge.
- 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_69f349b6df1c81908e5e5b6c2ab6409b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:57 a.m.