Triple
T10110500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject |
E218225
|
entity | |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | WeChat Moments |
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 Moments | Statement: [WeChat, hasComponent, WeChat Moments]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WeChat Moments Context triple: [WeChat, hasComponent, WeChat Moments]
-
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.
Weibo
Weibo is a major Chinese microblogging and social media platform widely used for news, entertainment, and public discourse.
-
C.
Toutiao
Toutiao is a popular Chinese news and content aggregation platform that uses algorithms to deliver personalized feeds to users.
-
D.
Douyin
Douyin is the Chinese short-video social media platform owned by ByteDance, offering similar features to TikTok but operating separately within China's internet ecosystem.
-
E.
SNS
SNS is the acronym for the Scuola Normale Superiore di Pisa, an elite Italian higher education and research institution renowned for its rigorous academic standards.
- 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_69ca83da93fc8190b54e44bc2b34857c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd0cf39908190bba679ace095eefc |
completed | April 2, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc1805d08190bc39aadf1e84a569 |
completed | April 5, 2026, 8:54 p.m. |
Created at: March 30, 2026, 9:03 p.m.