Triple
T5015731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple September 2016 event |
E112736
|
entity |
| Predicate | introducedSoftwareVersion |
P11235
|
FINISHED |
| Object | iOS 10 release date |
—
|
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 10 release date | Statement: [Apple September 2016 event, introducedSoftwareVersion, iOS 10 release date]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedSoftwareVersion Context triple: [Apple September 2016 event, introducedSoftwareVersion, iOS 10 release date]
-
A.
introducedWithVersion
chosen
Indicates that something first became available or was added starting from a specific version.
-
B.
versionOf
Indicates that one entity is a specific form, edition, or variant derived from or corresponding to another entity.
-
C.
introducedInProduct
Indicates that something (such as a feature, component, or concept) first appeared or was initially made available within a particular product.
-
D.
introducedInSystem
Indicates that an entity was first added, implemented, or made available within a particular system.
-
E.
officialVersionSince
Indicates the point in time from which a particular version of something is recognized or treated as the official version.
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd732f4c5c8190b90f8e4daab458ee |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714ecfe08190b5830cfc1c74fa17 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.