Triple
T22445630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuchsia |
E554855
|
entity |
| Predicate | buildSystem |
P2012
|
FINISHED |
| Object | Ninja |
—
|
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: Ninja | Statement: [Fuchsia, buildSystem, Ninja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ninja Context triple: [Fuchsia, buildSystem, Ninja]
-
A.
Ninja
Ninja is a popular line of high-performance sport motorcycles produced by Kawasaki, known for their aggressive styling and strong racing heritage.
-
B.
Ninja
chosen
Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
-
C.
Ninja
The Kawasaki OH-1 "Ninja" is a Japanese light observation and scout helicopter designed for reconnaissance and target designation missions.
-
D.
Ninja
Ninja is a South African rapper and actor best known as one half of the rave-rap duo Die Antwoord and for his distinctive, provocative performance style.
-
E.
Ninja
Ninja is a suspended steel roller coaster at Six Flags Magic Mountain known for its swift, swinging turns through a wooded terrain.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b46e8ac8190bfa8c611ffcba822 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:47 p.m.