Triple
T10110420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject |
E218224
|
entity | |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Sina Weibo |
E218224
|
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: Sina Weibo | Statement: [Weibo, formerName, Sina Weibo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sina Weibo Context triple: [Weibo, formerName, Sina Weibo]
-
A.
Weibo
chosen
Weibo is a major Chinese microblogging and social media platform widely used for news, entertainment, and public discourse.
-
B.
Toutiao
Toutiao is a popular Chinese news and content aggregation platform that uses algorithms to deliver personalized feeds to users.
-
C.
Sina
Sina is a given name and surname used in various cultures, often associated with notable figures in fields such as science, arts, and media.
-
D.
WeChat
WeChat is a Chinese multi-purpose mobile app developed by Tencent that combines messaging, social media, and payment services into a single platform.
-
E.
SNS
SNS is the National Rail station code for Staines railway station in Surrey, England.
- 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.