Triple
T16108069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asia/Bahrain |
E390793
|
entity |
| Predicate | usedInUnixLikeSystems |
P105842
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Asia/Bahrain, usedInUnixLikeSystems, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInUnixLikeSystems Context triple: [Asia/Bahrain, usedInUnixLikeSystems, yes]
-
A.
usedByOperatingSystems
Indicates that something (such as a component, standard, or feature) is utilized or supported by one or more operating systems.
-
B.
usedInComputingSystems
chosen
Indicates that something is employed or applied within computing systems, such as hardware, software, or digital infrastructures, to perform functions or operations.
-
C.
usedBySystem
Indicates that something is utilized or operated by a particular system.
-
D.
systemUsedBy
Indicates that a particular system is utilized or operated by a specified agent or user.
-
E.
usesSameSystemAs
Indicates that two entities operate within or rely on the same underlying system, platform, or infrastructure.
- F. None of above.
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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20165aa9c81908c5358cca2b0d0fe |
completed | April 17, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.