Triple
T27615675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mono debugger (soft debugger) |
E700431
|
entity |
| Predicate | debugs |
P163300
|
FINISHED |
| Object | .NET applications running on Mono |
—
|
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: .NET applications running on Mono | Statement: [Mono debugger (soft debugger), debugs, .NET applications running on Mono]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debugs Context triple: [Mono debugger (soft debugger), debugs, .NET applications running on Mono]
-
A.
debugInterface
Indicates a relationship where one entity provides or exposes an interface specifically used to debug, inspect, or troubleshoot another entity or system.
-
B.
logs
Indicates that an entity records or writes information, events, or data into a log or logging system.
-
C.
trace
Indicates following or mapping the path, origin, or development of something step by step through evidence or markers.
-
D.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
-
E.
voids
Indicates that one entity cancels, nullifies, or renders another entity invalid or without effect.
- 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6369a22688190a5674191c90a5d12 |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 2:12 p.m.