Triple
T5765537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WebAssembly.instantiateStreaming |
E127203
|
entity |
| Predicate | usageExample |
P8562
|
FINISHED |
| Object | WebAssembly.instantiateStreaming(fetch('module.wasm'), importObject) |
—
|
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: WebAssembly.instantiateStreaming(fetch('module.wasm'), importObject) | Statement: [WebAssembly.instantiateStreaming, usageExample, WebAssembly.instantiateStreaming(fetch('module.wasm'), importObject)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usageExample
Context triple: [WebAssembly.instantiateStreaming, usageExample, WebAssembly.instantiateStreaming(fetch('module.wasm'), importObject)]
-
A.
toolUseExamples
chosen
Indicates that one entity provides example instances or demonstrations of how a particular tool is or can be used by another entity.
-
B.
usagePattern
Indicates how something is typically used or the recurring manner in which it is employed or consumed.
-
C.
usageInstruction
Indicates that one entity provides guidance or directions on how to properly use, operate, or handle another entity.
-
D.
usedAsExampleIn
Indicates that one entity is cited or presented as an illustrative example within another entity, such as a text, discussion, or explanation.
-
E.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021ce8d3c81909b332cb1c33a61ad |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.