Triple
T25581216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MP 59 |
E641244
|
entity |
| Predicate | automationCompatibility |
P158870
|
FINISHED |
| Object | not designed for full automation |
—
|
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: not designed for full automation | Statement: [MP 59, automationCompatibility, not designed for full automation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: automationCompatibility Context triple: [MP 59, automationCompatibility, not designed for full automation]
-
A.
hasSoftwareCompatibilityWith
Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
-
B.
isGenerallyCompatibleWith
Indicates that two entities can typically function or coexist together without significant conflict, issues, or need for special adaptation.
-
C.
compatibilityCondition
Indicates that a specific requirement or set of criteria must be satisfied for two or more entities to be considered compatible or able to function together.
-
D.
checksCompatibilityWith
Indicates that one entity evaluates whether it is compatible or can function harmoniously with another entity.
-
E.
compatibilityModel
Indicates that one entity is defined or evaluated according to a specific compatibility framework, standard, or model in relation to another entity.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f934be208190aed5a7f6a44b6b83 |
completed | May 2, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 4:12 p.m.