Triple
T11958112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Developer Documentation |
E284602
|
entity |
| Predicate | documents |
P450
|
FINISHED |
| Object | Combine |
E97040
|
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: Combine | Statement: [Apple Developer Documentation, documents, Combine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Combine Context triple: [Apple Developer Documentation, documents, Combine]
-
A.
Combine
chosen
Combine is Apple’s declarative reactive programming framework for handling asynchronous events and data streams in Swift applications.
-
B.
Combine
Combine is a type of artwork, pioneered by Robert Rauschenberg, that merges painting and sculpture by incorporating everyday objects and materials into the painted surface.
-
C.
Pinagsama
Pinagsama is a barangay (village-level administrative division) located in the city of Taguig in Metro Manila, Philippines.
-
D.
Combines
Combines are Robert Rauschenberg’s pioneering mixed-media artworks that fuse painting and sculpture using everyday objects and nontraditional materials.
-
E.
Composite
Composite is a structural design pattern that lets you treat individual objects and compositions of objects uniformly by organizing them into tree-like hierarchies.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903681a00819098c2b5260e2ef834 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f459210d1c8190953cd01da3d2ad04 |
completed | May 1, 2026, 7:41 a.m. |
Created at: April 8, 2026, 9:45 p.m.