Triple
T13894440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BlackBerry Messenger |
E334051
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object |
E218225
|
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: WeChat | Statement: [BlackBerry Messenger, competitor, WeChat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WeChat Context triple: [BlackBerry Messenger, competitor, WeChat]
-
A.
WeChat
chosen
WeChat is a Chinese multi-purpose mobile app developed by Tencent that combines messaging, social media, and payment services into a single platform.
-
B.
DingTalk
DingTalk is a Chinese enterprise communication and collaboration platform that offers messaging, video conferencing, task management, and office automation tools for businesses.
-
C.
WhatsApp
WhatsApp is a widely used cross-platform messaging application that allows users to send text, voice, and multimedia messages and make voice and video calls over the internet.
-
D.
Weibo
Weibo is a major Chinese microblogging and social media platform widely used for news, entertainment, and public discourse.
-
E.
BlackBerry Messenger
BlackBerry Messenger was a proprietary instant messaging service for BlackBerry devices that became widely popular for its secure, real-time chat and push notifications before the rise of modern smartphone messaging apps.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a741908190bdf46d76c5f1411a |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c71eb1808190b0a3a28a8011e9c7 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.