Triple
T22489202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mocha |
E555969
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | Chai |
—
|
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: Chai | Statement: [Mocha, compatibleWith, Chai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chai Context triple: [Mocha, compatibleWith, Chai]
-
A.
Chai
chosen
Chai is a popular JavaScript assertion library commonly used in testing frameworks like Mocha to provide expressive, readable test assertions.
-
B.
Chai
Chai is the guitar-wielding, rhythm-obsessed main hero of the action-rhythm game Hi-Fi Rush, known for battling enemies in sync with the music.
-
C.
CHAI
CHAI is a global health organization that works to expand access to lifesaving medicines and strengthen health systems in low- and middle-income countries.
-
D.
Tea
Tea is a widely consumed beverage made by steeping processed leaves of the Camellia sinensis plant in hot water, known for its variety of flavors, caffeine content, and cultural significance worldwide.
-
E.
Ah-Leu-Cha
"Ah-Leu-Cha" is a bebop jazz composition by Charlie Parker, known for its fast tempo, intricate melody, and status as a standard in the modern jazz repertoire.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3f3b4c819092bfe6495c61db46 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.