Triple
T18497641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PMM Leonardo |
E451988
|
entity |
| Predicate | hasModuleType |
P79317
|
FINISHED |
| Object | cargo and logistics module |
—
|
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: cargo and logistics module | Statement: [PMM Leonardo, hasModuleType, cargo and logistics module]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModuleType Context triple: [PMM Leonardo, hasModuleType, cargo and logistics module]
-
A.
hasPackageType
Indicates that an entity is associated with or classified under a particular type or category of package.
-
B.
hasModuleConstruct
Indicates that an entity includes, defines, or is composed of a specific module as one of its structural or functional components.
-
C.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
D.
hasModulePath
Indicates that something is associated with or identified by a specific module path within a modular or hierarchical structure.
-
E.
moduleType
chosen
Indicates the classification or category of a module in terms of its functional or structural type.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c15dec8190941e7c7a4cdebb66 |
completed | April 19, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:36 a.m.