Triple
T27735851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AbandonedMutexException |
E697525
|
entity |
| Predicate | recommendedHandling |
P6732
|
FINISHED |
| Object | assume protected data may be corrupted |
—
|
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: assume protected data may be corrupted | Statement: [AbandonedMutexException, recommendedHandling, assume protected data may be corrupted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recommendedHandling Context triple: [AbandonedMutexException, recommendedHandling, assume protected data may be corrupted]
-
A.
recommendedDirection
Indicates the direction that is advised or suggested as the preferred way to move, orient, or proceed in a given context.
-
B.
guidanceRecommended
Indicates that one entity advises or suggests that another entity receive guidance, instruction, or direction.
-
C.
commendedFor
Indicates that one entity has expressed praise or approval toward another entity specifically because of a particular action, quality, or achievement.
-
D.
recommendedMode
Indicates that one entity is suggested or advised as the preferred mode, method, or way of doing or experiencing something in relation to another entity.
-
E.
recommendedAction
chosen
Indicates that one entity suggests or prescribes a particular action for another entity to take.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f636a088b8819081e34d416b28cdac |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 3:12 p.m.