Triple
T10110419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject |
E218224
|
entity | |
| Predicate | owner |
P347
|
FINISHED |
| Object | Weibo Corporation |
E842135
|
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: Weibo Corporation | Statement: [Weibo, owner, Weibo Corporation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weibo Corporation Context triple: [Weibo, owner, Weibo Corporation]
-
A.
Sina Corporation
chosen
Sina Corporation is a Chinese technology company best known for operating major online media and social networking platforms, including the popular microblogging service Weibo.
-
B.
Tencent
Tencent is a Chinese multinational technology and entertainment conglomerate known for its dominant social media, gaming, and digital services platforms such as WeChat and QQ.
-
C.
Alibaba Group
Alibaba Group is a Chinese multinational conglomerate specializing in e-commerce, retail, internet, and technology, best known for operating major online marketplaces like Taobao and Tmall.
-
D.
Weibo
Weibo is a major Chinese microblogging and social media platform widely used for news, entertainment, and public discourse.
-
E.
Twitter, Inc.
Twitter, Inc. was a major social media and microblogging company best known for its real-time short-message platform that shaped online news, politics, and public discourse worldwide.
- 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_69d2e59ec83c8190a79fbb0d0de90310 |
completed | April 5, 2026, 10:43 p.m. |
Created at: March 30, 2026, 9:03 p.m.