Triple
T5768451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Continuity |
E127268
|
entity |
| Predicate | includesFeature |
P182
|
FINISHED |
| Object | Continuity Markup |
E209746
|
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: Continuity Markup | Statement: [Continuity, includesFeature, Continuity Markup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Continuity Markup Context triple: [Continuity, includesFeature, Continuity Markup]
-
A.
Continuity Markup
chosen
Continuity Markup is an Apple feature that lets users annotate and mark up content on a Mac using an iPhone or iPad in a seamless, integrated workflow.
-
B.
Continuity
Continuity is Apple’s ecosystem feature set that seamlessly links activities and data across iPhone, iPad, Mac, Apple Watch, and other Apple devices for a unified user experience.
-
C.
Continuity Sketch
Continuity Sketch is a design collaboration tool that helps teams create, share, and refine interface sketches and workflows during product handoff.
-
D.
Markings
Markings is a posthumously published collection of spiritual reflections, diary entries, and meditations by Dag Hammarskjöld, often regarded as a classic of modern Christian mysticism.
-
E.
Rich Text Format
Rich Text Format (RTF) is a cross-platform document file format developed by Microsoft that preserves basic text formatting and structure while remaining readable by many word processors.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02974ae2c8190aee5ee61fc69ad79 |
completed | March 22, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e61127c8190833e279403af6605 |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:49 p.m.