Triple
T6247922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | wasi-io |
E139767
|
entity |
| Predicate | goalsInclude |
P32133
|
FINISHED |
| Object | security through capability-based I/O |
—
|
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: security through capability-based I/O | Statement: [wasi-io, goalsInclude, security through capability-based I/O]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsInclude Context triple: [wasi-io, goalsInclude, security through capability-based I/O]
-
A.
objectiveIncludes
chosen
Indicates that a broader objective encompasses or contains a specific sub-objective, component, or element as part of its scope.
-
B.
goals
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
-
C.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
D.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
E.
includesSee
Indicates that one entity’s scope, content, or experience contains or encompasses the act of seeing or visual perception involving another entity.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0633a9a048190856d5247d3b28a2e |
completed | March 22, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c056037bf88190a0a3fe7429345d0b |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:23 p.m.