Triple
T9175860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac OS X 10.7 Lion |
E220196
|
entity |
| Predicate | includedFeature |
P1393
|
FINISHED |
| Object | AirDrop |
E41432
|
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: AirDrop | Statement: [Mac OS X 10.7 Lion, includedFeature, AirDrop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AirDrop Context triple: [Mac OS X 10.7 Lion, includedFeature, AirDrop]
-
A.
AirDrop
chosen
AirDrop is Apple's wireless file-sharing feature that lets users quickly and securely transfer photos, documents, and other data between nearby Apple devices.
-
B.
Nearby Share
Nearby Share is Google's proximity-based file sharing feature that lets users quickly and wirelessly send files, links, and other content between nearby Android and ChromeOS devices.
-
C.
AirPort
AirPort is Apple's brand name for its line of Wi‑Fi networking technology and products used to provide wireless connectivity for its computers and devices.
-
D.
Wi‑Fi Direct
Wi‑Fi Direct is a wireless technology standard that allows devices to connect directly to each other without requiring a traditional Wi‑Fi network or router.
-
E.
AirPlay
AirPlay is Apple's wireless streaming protocol that lets users send audio, video, and screen content from their devices to compatible receivers like speakers and TVs.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa496548190a096969eebf732f3 |
completed | April 1, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054a87f3881908bda69238d2b97ab |
completed | April 4, 2026, midnight |
Created at: March 30, 2026, 7:23 p.m.