Triple
T63765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSH |
E1267
|
entity |
| Predicate | runsOn |
P23
|
FINISHED |
| Object | macOS |
E1458
|
NE FINISHED |
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: macOS | Statement: [SSH, runsOn, macOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: macOS Context triple: [SSH, runsOn, macOS]
-
A.
USBOS
USBOS is the UN/LOCODE identifier assigned to the Port of Boston in the United States for international shipping and logistics.
-
B.
Apple Macintosh computers
chosen
Apple Macintosh computers are a line of personal computers designed and sold by Apple Inc., known for their distinctive macOS operating system, integrated hardware–software ecosystem, and strong presence in creative and professional markets.
-
C.
Apple Inc.
Apple Inc. is a multinational technology company best known for designing and selling consumer electronics like the iPhone, Mac, and iPad, along with software and digital services.
-
D.
Clementine
Clementine is a feminine given name most famously borne by Clementine Churchill, the wife of British Prime Minister Winston Churchill.
-
E.
Microsoft
Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a24ee576fc8190b42e5d50767beefb |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2554c4edc8190a44fa66848c5f738 |
completed | Feb. 28, 2026, 2:39 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.