Triple
T27733637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.Diagnostics.Debug |
E697483
|
entity |
| Predicate | usesListenerType |
P168606
|
FINISHED |
| Object | System.Diagnostics.TraceListener |
—
|
NE NERFINISHED |
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: System.Diagnostics.TraceListener | Statement: [System.Diagnostics.Debug, usesListenerType, System.Diagnostics.TraceListener]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesListenerType Context triple: [System.Diagnostics.Debug, usesListenerType, System.Diagnostics.TraceListener]
-
A.
usesEffectType
Indicates that an entity employs or is associated with a particular type or category of effect in its operation or behavior.
-
B.
listensOn
Indicates that a service or component is configured to receive and accept incoming communication on a specified network port or channel.
-
C.
usedInteractionType
Indicates the specific type or category of interaction that was used between the related entities.
-
D.
usesToolType
Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
-
E.
usedWithType
Indicates that something is typically or appropriately used together with items of a specified type.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 27, 2026, 3:12 p.m.