Triple
T22374920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | koa-bodyparser |
E553128
|
entity |
| Predicate | parsesInto |
P33283
|
FINISHED |
| Object | JavaScript objects |
—
|
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: JavaScript objects | Statement: [koa-bodyparser, parsesInto, JavaScript objects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parsesInto Context triple: [koa-bodyparser, parsesInto, JavaScript objects]
-
A.
readsInto
Indicates that one entity reads or interprets information from another entity as input or source content.
-
B.
derivedInto
Indicates that one entity is produced, transformed, or evolved from another as a result of some derivation process.
-
C.
parsedBy
chosen
Indicates that one entity analyzes and interprets another entity’s structure or content, typically transforming it into a more structured or machine-readable form.
-
D.
injectsInto
Indicates that one entity introduces or forces a substance or element into another entity, typically via a directed flow or insertion process.
-
E.
setInto
Indicates placing or inserting one entity into another entity or context, often initiating a new state or condition.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15807cb748190abd9adc08ca1ad4f |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.