Triple
T27737025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.Reflection.Pointer |
E697552
|
entity |
| Predicate | canBeSerializedVia |
P93435
|
FINISHED |
| Object | ISerializable implementation |
—
|
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: ISerializable implementation | Statement: [System.Reflection.Pointer, canBeSerializedVia, ISerializable implementation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeSerializedVia Context triple: [System.Reflection.Pointer, canBeSerializedVia, ISerializable implementation]
-
A.
isSerializable
chosen
Indicates that an object or data structure can be converted into a storable or transmittable format and later reconstructed.
-
B.
isSerializableIn
Indicates that something can be converted into a specific format or representation suitable for storage or transmission within a given context or system.
-
C.
hasSerialization
Indicates that one entity is represented, encoded, or stored as a serialized form in another entity.
-
D.
supportsSerialization
Indicates that an entity is capable of being converted to and from a serialized form for storage or transmission.
-
E.
serializedIn
Indicates that something is published or presented in sequential installments within a larger medium or series.
- 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_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 27, 2026, 3:13 p.m.