Triple
T9046810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lu Xun |
E216773
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Lu Xun Park, Shanghai |
E219455
|
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: Lu Xun Park, Shanghai | Statement: [Lu Xun, burialPlace, Lu Xun Park, Shanghai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lu Xun Park, Shanghai Context triple: [Lu Xun, burialPlace, Lu Xun Park, Shanghai]
-
A.
Lu Xun Park
chosen
Lu Xun Park is a popular public park in Shanghai named after the famed Chinese writer Lu Xun, featuring memorials, cultural sites, and recreational areas.
-
B.
Zhongshan Park
Zhongshan Park is a public urban park in central Beijing known for its historical monuments, landscaped gardens, and proximity to the Forbidden City.
-
C.
Lu Xun Museum
The Lu Xun Museum is a cultural institution in Shanghai dedicated to the life, works, and legacy of the influential modern Chinese writer Lu Xun.
-
D.
Ma'anshan Park
Ma'anshan Park is a scenic urban park in Liuzhou, China, known for its green spaces, walking paths, and views of the surrounding karst landscape.
-
E.
Fuxing Park
Fuxing Park is a historic European-style public park in Shanghai known for its landscaped gardens, open plazas, and lively local social scene.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b4e4b888190a425e29b193b506f |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebb7f668819099125ab727cd50b1 |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:09 p.m.