Triple
T22374993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | koa-logger |
E553130
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | Koa v2 |
—
|
NE NERFINISHED |
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: Koa v2 | Statement: [koa-logger, supports, Koa v2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koa v2 Context triple: [koa-logger, supports, Koa v2]
-
A.
Koa web framework
chosen
Koa is a minimalist, modern Node.js web framework designed by TJ Holowaychuk to provide a smaller, more expressive, and robust foundation for web applications and APIs using async functions.
-
B.
Koa (via adapters)
Koa (via adapters) is a lightweight, modern Node.js web framework that can be integrated with FeathersJS through adapters to provide a flexible HTTP server layer for building APIs and web applications.
-
C.
Koa.js community
The Koa.js community is a group of developers and contributors who collaboratively maintain and evolve the Koa web framework for Node.js.
-
D.
Koa in 65 (2023 film)
Koa in "65" (2023) is a young girl and one of the only survivors alongside Adam Driver’s character after a catastrophic spaceship crash on prehistoric Earth.
-
E.
KOVE
KOVE is the ICAO airport code for Oroville Municipal Airport, a public airport serving Oroville, California.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 8:45 p.m.