Triple
T14931046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java Virtual Machine |
E372263
|
entity |
| Predicate | hasRuntimeDataArea |
P14400
|
FINISHED |
| Object | method area |
—
|
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: method area | Statement: [Java Virtual Machine, hasRuntimeDataArea, method area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRuntimeDataArea Context triple: [Java Virtual Machine, hasRuntimeDataArea, method area]
-
A.
hasPrimaryRuntime
Indicates that an entity is associated with a main or default runtime environment it primarily uses or depends on.
-
B.
hasRuntimeType
Indicates that an entity is of, or conforms to, a specific type when evaluated at runtime rather than at compile time.
-
C.
hasCoreArea
chosen
Indicates that an entity possesses a primary or central area that is fundamental to its structure, function, or focus.
-
D.
hasDisplayArea
Indicates that an entity includes or is associated with a specific physical or virtual area used for displaying content or items.
-
E.
hasMemorySlot
Indicates that an entity possesses a specific memory slot or storage location for holding information or data.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:36 a.m.