Triple
T575106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java |
E13745
|
entity |
| Predicate | packageSystem |
P16198
|
FINISHED |
| Object | package namespaces |
—
|
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: package namespaces | Statement: [Java, packageSystem, package namespaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: packageSystem Context triple: [Java, packageSystem, package namespaces]
-
A.
system
Indicates that an entity functions as or belongs to a structured, organized set of components or processes that operate together as a system.
-
B.
partOfSystem
Indicates that one entity functions as a component or subsystem within the structure or organization of another entity.
-
C.
scriptSystem
Indicates that one entity is the scripting or programming system used to control, configure, or automate the behavior of another entity.
-
D.
establishedSystem
Indicates that an entity has created, set up, or formally put into operation a particular system or structured arrangement.
-
E.
systemType
Indicates the classification or category of a system that an entity belongs to or operates as.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b4c23548190a3b883239c7c78c8 |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c4969c819080375d08f9eec50c |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a498dd579081908e02368a4c5efc8c |
completed | March 1, 2026, 7:51 p.m. |
Created at: March 1, 2026, 7:33 p.m.