Triple
T12562336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VisualWorks |
E295379
|
entity |
| Predicate | hasDebugger |
P105450
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [VisualWorks, hasDebugger, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDebugger Context triple: [VisualWorks, hasDebugger, true]
-
A.
hasSimulator
Indicates that one entity provides or is associated with a simulator used to model, emulate, or test the behavior of another entity.
-
B.
hasObserver
Indicates that an entity is being watched, monitored, or examined by another entity acting as an observer.
-
C.
hasHook
Indicates that one entity possesses, is equipped with, or features a hook in relation to another entity or context.
-
D.
hasAuditor
Indicates that an entity is formally examined, reviewed, or verified by a designated auditor.
-
E.
hasADBPort
Indicates that one entity provides or includes an ADB (Android Debug Bridge) port that can be used by another entity for debugging or communication purposes.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d9550af6d48190a40e349ed0424be3 |
completed | April 10, 2026, 7:52 p.m. |
Created at: April 8, 2026, 11:48 p.m.