Triple
T9761701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSData |
E236684
|
entity |
| Predicate | canBeCreatedFrom |
P23101
|
FINISHED |
| Object | bytes buffer |
—
|
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: bytes buffer | Statement: [NSData, canBeCreatedFrom, bytes buffer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeCreatedFrom Context triple: [NSData, canBeCreatedFrom, bytes buffer]
-
A.
canBeConstructedWith
chosen
Indicates that one entity can be formed, built, or assembled using another entity as material, components, or means.
-
B.
canBeEstablishedBy
Indicates that a particular state, condition, or relationship is able to be brought into existence or made valid through the actions or intervention of a specified entity.
-
C.
canBeObtainedFrom
Indicates that one entity is derivable, producible, or acquirable from another entity as a source or origin.
-
D.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
E.
builtFrom
Indicates that one entity is constructed, composed, or formed using another entity as its material, component, or source.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda04c70108190a8ed09eb6f2a124e |
completed | April 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.