Triple
T10214036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Today at Apple educational programs |
E242397
|
entity |
| Predicate | usesSoftware |
P10387
|
FINISHED |
| Object | Swift Playgrounds |
E771041
|
NE 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: Swift Playgrounds | Statement: [Today at Apple educational programs, usesSoftware, Swift Playgrounds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swift Playgrounds Context triple: [Today at Apple educational programs, usesSoftware, Swift Playgrounds]
-
A.
Swift Playgrounds for iPad
chosen
Swift Playgrounds for iPad is an Apple-developed educational app that teaches coding concepts and the Swift programming language through interactive puzzles and guided lessons.
-
B.
Swift
Swift is a common English surname borne by numerous notable figures, including the Anglo-Irish satirist Jonathan Swift.
-
C.
Swift
Swift is a modern, compiled programming language developed by Apple for building fast, safe, and expressive applications across its platforms and beyond.
-
D.
Swift
Swift is a NASA space telescope mission dedicated to detecting and rapidly observing gamma-ray bursts and other high-energy astrophysical phenomena.
-
E.
Swift
Swift is a line of thin-and-light consumer and productivity laptops produced by the Taiwanese computer manufacturer Acer.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a7f6730081908b941eaeb6c00993 |
completed | April 8, 2026, 7:09 p.m. |
Created at: April 6, 2026, 11:04 a.m.