Triple
T27732822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.UInt32 |
E697469
|
entity |
| Predicate | canBeBoxedTo |
P143143
|
FINISHED |
| Object | System.Object |
—
|
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.Object | Statement: [System.UInt32, canBeBoxedTo, System.Object]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeBoxedTo Context triple: [System.UInt32, canBeBoxedTo, System.Object]
-
A.
canBeWrappedBy
Indicates that one entity is capable of being enclosed, covered, or surrounded by another entity.
-
B.
canBeExposedAs
chosen
Indicates that one entity is capable of being revealed, presented, or made visible/accessible as another form, type, or interface.
-
C.
canBeTypeOf
Indicates that one entity is capable of serving as, or being classified as, a particular type or category of another entity.
-
D.
canBeConstructedWith
Indicates that one entity can be formed, built, or assembled using another entity as material, components, or means.
-
E.
canBeViewedAs
Indicates that one entity may be interpreted, treated, or understood as another entity or type under some perspective or conditions.
- 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_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 27, 2026, 3:12 p.m.