Triple
T18256588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modula |
E437236
|
entity |
| Predicate | moduleSystem |
P131048
|
FINISHED |
| Object | definition 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: definition module | Statement: [Modula, moduleSystem, definition module]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moduleSystem Context triple: [Modula, moduleSystem, definition module]
-
A.
moduleType
Indicates the classification or category of a module in terms of its functional or structural type.
-
B.
moduleImport
Indicates that one module brings another module into its scope to use its definitions or functionality.
-
C.
packageSystem
Indicates a relationship where an item or component is organized, bundled, or managed within a particular packaging or distribution system.
-
D.
definesSystemAs
Indicates that one entity explicitly specifies or establishes another entity as the system to be used, referenced, or treated as authoritative.
-
E.
coreModule
Indicates that something functions as a primary or foundational module within a larger system or structure.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd86e21081909c049082949b95c6 |
completed | April 19, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:34 a.m.