Triple
T563953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australia/Melbourne |
E13512
|
entity |
| Predicate | usedByOperatingSystems |
P16239
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Australia/Melbourne, usedByOperatingSystems, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByOperatingSystems Context triple: [Australia/Melbourne, usedByOperatingSystems, true]
-
A.
operatesSystem
Indicates that an entity actively controls, manages, or runs a particular system.
-
B.
operatingSystem
Indicates that one entity is the operating system running on, or used by, another entity.
-
C.
primaryOperatingEnvironment
Indicates the main environment, platform, or context in which an entity is primarily designed to operate or function.
-
D.
supportedSystem
Indicates that one entity provides compatibility, functionality, or operational support for another system.
-
E.
usedBySystem
Indicates that something is utilized or operated by a particular system.
- F. None of above. chosen
Provenance (4 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a735b2881908293ad21ad41cdd6 |
completed | March 1, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69a494c044648190a98589ab18935216 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a498ff0c0081908947376a38b10d72 |
completed | March 1, 2026, 7:52 p.m. |
Created at: March 1, 2026, 7:32 p.m.