Triple
T29910559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NameDrop |
E759667
|
entity |
| Predicate | operatingSystemRequirement |
P29568
|
FINISHED |
| Object | iOS 17 or later |
—
|
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: iOS 17 or later | Statement: [NameDrop, operatingSystemRequirement, iOS 17 or later]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatingSystemRequirement Context triple: [NameDrop, operatingSystemRequirement, iOS 17 or later]
-
A.
platformRequirement
chosen
Indicates that one entity specifies a necessary platform or environment condition that must be met for another entity to function or be applicable.
-
B.
operatingSystem
Indicates that one entity is the operating system running on, or used by, another entity.
-
C.
operatesSystem
Indicates that an entity actively controls, manages, or runs a particular system.
-
D.
operatorSystem
Indicates a relationship where one entity functions as the operating system that manages or controls another entity (such as a device, application, or system).
-
E.
primaryOperatingEnvironment
Indicates the main environment, platform, or context in which an entity is primarily designed to operate or function.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ff3b32ee148190a3ba3b7600943fef |
completed | May 9, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69ff3a238af88190a2c2245e30299e48 |
completed | May 9, 2026, 1:44 p.m. |
Created at: April 29, 2026, 6:10 p.m.