Triple
T22374916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | koa-bodyparser |
E553128
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | Koa 2 |
—
|
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 2 | Statement: [koa-bodyparser, compatibleWith, Koa 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koa 2 Context triple: [koa-bodyparser, compatibleWith, Koa 2]
-
A.
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.
-
B.
"K.O.B. 2"
"K.O.B. 2" is a hip-hop EP by Brooklyn rapper Maino that continues his King of Brooklyn-themed series with gritty, street-oriented tracks.
-
C.
Shot Koa
Shot Koa was one of the individual nuclear detonations conducted during the U.S. Operation Hardtack I test series in 1958 in the Pacific Proving Grounds.
-
D.
Koa
chosen
Koa is a lightweight, modern Node.js web framework designed by the creators of Express to provide a more expressive and robust foundation for web applications and APIs.
-
E.
Koja
Koja is a coastal district in North Jakarta, Indonesia, known for its dense urban neighborhoods and proximity to the city’s port and industrial areas.
- 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.