Triple
T321746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | macOS |
E6427
|
entity |
| Predicate | supportsInternationalization |
P11998
|
FINISHED |
| Object | multiple languages |
—
|
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: multiple languages | Statement: [macOS, supportsInternationalization, multiple languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsInternationalization Context triple: [macOS, supportsInternationalization, multiple languages]
-
A.
supportsInternationalOrientation
Indicates that one entity facilitates, promotes, or enables the international focus, outlook, or activities of another entity.
-
B.
hasInternationalVersion
Indicates that an entity has a corresponding version or counterpart adapted for use in multiple countries or international contexts.
-
C.
isInternational
Indicates that something has a connection to, involves, or extends across more than one country.
-
D.
isWorldLanguage
Indicates that a language is widely used across multiple countries or regions and serves as a common means of communication beyond its original native community.
-
E.
supportsRegion
Indicates that one entity provides assistance, resources, or backing to a specific geographic or administrative region.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea81a1e88190b3496070eb3d85f5 |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e948048c819098ba4de9261ef2ef |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea08878c8190a5e8a90f620a3888 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.