Triple
T712535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Android Dalvik VM |
E14240
|
entity |
| Predicate | bytecodeFormat |
P130
|
FINISHED |
| Object | compact constant pool |
—
|
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: compact constant pool | Statement: [Android Dalvik VM, bytecodeFormat, compact constant pool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bytecodeFormat Context triple: [Android Dalvik VM, bytecodeFormat, compact constant pool]
-
A.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
B.
compilationType
Indicates the specific method or mode by which something is compiled or assembled into a final form.
-
C.
machineReadable
Indicates that something is in a format that can be automatically processed or interpreted by a computer without human intervention.
-
D.
notableFormat
Indicates that something is particularly recognized or distinguished for being in a specific format.
-
E.
codeType
Indicates the classification or category assigned to a particular code within a coding or encoding system.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f221b081909fbaa689fb20eb3e |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.