Triple
T3427643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maps Platform Mobile SDKs |
E72261
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | Swift |
E17651
|
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 | Statement: [Maps Platform Mobile SDKs, supports, Swift]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swift Context triple: [Maps Platform Mobile SDKs, supports, Swift]
-
A.
Swift
chosen
Swift is a modern, compiled programming language developed by Apple for building fast, safe, and expressive applications across its platforms and beyond.
-
B.
Swift
Swift is a NASA space telescope mission dedicated to detecting and rapidly observing gamma-ray bursts and other high-energy astrophysical phenomena.
-
C.
Swift
Swift is a common English surname borne by numerous notable figures, including the Anglo-Irish satirist Jonathan Swift.
-
D.
SwiftUI
SwiftUI is Apple’s modern declarative user interface framework for building apps across all its platforms using the Swift programming language.
-
E.
Swift Standard Library
The Swift Standard Library is the core collection of fundamental types, protocols, and utilities that provide essential functionality for writing programs in the Swift programming language.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb983f4608190abcc27aa7b926deb |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360c789b48190807bddf1a3bf8d2e |
completed | March 13, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:15 p.m.