Triple
T17517390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PlatformIO |
E426601
|
entity |
| Predicate | supportsFramework |
P9089
|
FINISHED |
| Object | Zephyr |
—
|
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: Zephyr | Statement: [PlatformIO, supportsFramework, Zephyr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zephyr Context triple: [PlatformIO, supportsFramework, Zephyr]
-
A.
Zephyr
chosen
Zephyr is an open-source, small-footprint real-time operating system designed for resource-constrained embedded and IoT devices.
-
B.
Zefyri
Zefyri is a suburban settlement in the Athens metropolitan area of Greece, located within the municipality of Fyli in the region of Attica.
-
C.
Zefyria
Zefyria is a small inland village on the Greek island of Milos, known for its traditional Cycladic character and quiet, rural setting.
-
D.
Aquilon
Aquilon was a warship that engaged in naval combat with the British battleship HMS Goliath.
-
E.
Nimbus
Nimbus is the central coordination and resource management service in Apache Storm that assigns tasks to worker nodes and oversees the execution of distributed stream processing topologies.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452615a8481909974e9855ea7a8e4 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:49 a.m.