Triple
T2166273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARKit |
E46914
|
entity |
| Predicate | provides |
P490
|
FINISHED |
| Object | ARAnchor API |
E46914
|
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: ARAnchor API | Statement: [ARKit, provides, ARAnchor API]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARAnchor API Context triple: [ARKit, provides, ARAnchor API]
-
A.
ARKit framework
chosen
ARKit framework is Apple’s augmented reality development platform that enables iOS apps to blend virtual content with the real world using device cameras and motion sensors.
-
B.
Fieldlink
Fieldlink was an early digital payments and security startup co-founded by Max Levchin that later evolved into the company behind PayPal.
-
C.
ANLE
ANLE is the North American Academy of the Spanish Language, an institution dedicated to studying, preserving, and promoting the correct use of Spanish in the United States.
-
D.
Anyer
Anyer is a coastal town in Indonesia known for its beaches on the western tip of Java and as a popular seaside getaway from Jakarta.
-
E.
Grand Portal Point
Grand Portal Point is a prominent sandstone cliff and scenic overlook along the shoreline of Lake Superior within Pictured Rocks National Lakeshore in Michigan.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeab223881908aaa2bc4f85329cc |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58f044b8819092c58022383d3468 |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:45 p.m.