Triple
T22677483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuexiu Stadium |
E560382
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Yuexiu |
—
|
NE NERFINISHED |
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: Yuexiu | Statement: [Yuexiu Stadium, namedAfter, Yuexiu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuexiu Context triple: [Yuexiu Stadium, namedAfter, Yuexiu]
-
A.
Yuanhui
Yuanhui is the courtesy name of Zhu Xi, the influential 12th-century Neo-Confucian philosopher and scholar of the Southern Song dynasty.
-
B.
Zhujiang New Town
Zhujiang New Town is a major modern central business district in Guangzhou, China, known for its skyscrapers, upscale shopping, and cultural landmarks.
-
C.
Xiluoyuan
Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
-
D.
Guanghua
Guanghua is a leading business school under Peking University in China, renowned for its research and education in economics and management.
-
E.
Yuexiu District
chosen
Yuexiu District is a central urban district of Guangzhou, China, known for its political, commercial, and historical significance, including landmarks like Yuexiu Park and the Five Rams Statue.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785d93e48190b37d11642b0cb123 |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:11 p.m.