Triple
T8756448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GraphQL |
E208081
|
entity |
| Predicate | hasClientImplementation |
P19955
|
FINISHED |
| Object | Apollo iOS |
E8266
|
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: Apollo iOS | Statement: [GraphQL, hasClientImplementation, Apollo iOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apollo iOS Context triple: [GraphQL, hasClientImplementation, Apollo iOS]
-
A.
Ios
Ios is a Greek island in the Cyclades known for its picturesque whitewashed villages, sandy beaches, and vibrant nightlife.
-
B.
iOS
chosen
iOS is Apple’s mobile operating system that powers iPhones and iPads, known for its integrated ecosystem, security features, and curated App Store.
-
C.
IOS
IOS is the abbreviation for the International Officer School, a U.S. Air Force education program that trains and develops international military officers.
-
D.
Apple platforms APIs
Apple platforms APIs are the software interfaces and frameworks provided by Apple for building applications across its operating systems, including iOS, macOS, watchOS, and tvOS.
-
E.
Apple R1
Apple R1 is a custom Apple coprocessor designed to handle real-time sensor processing and spatial computing tasks in the Apple Vision Pro headset.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee850b88190a0294bcbe4045aa3 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4338c0f88190a1e3f7ef164b6c6d |
completed | April 3, 2026, 4:34 a.m. |
Created at: March 30, 2026, 6:40 p.m.