Triple
T12497576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dōngchéng Qū |
E298731
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Jingshan Park |
E67415
|
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: Jingshan Park | Statement: [Dōngchéng Qū, contains, Jingshan Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jingshan Park Context triple: [Dōngchéng Qū, contains, Jingshan Park]
-
A.
Jingshan Park
chosen
Jingshan Park is a historic imperial garden and scenic hilltop park in central Beijing, offering panoramic views over the Forbidden City and the surrounding cityscape.
-
B.
Lianhuashan Park
Lianhuashan Park is a large urban park in Shenzhen known for its hilltop views of the city skyline and its prominent Deng Xiaoping statue.
-
C.
Beihai Park
Beihai Park is a historic imperial garden and public park in central Beijing, renowned for its large lake, traditional Chinese architecture, and iconic White Dagoba.
-
D.
Haidian Park
Haidian Park is a large urban green space and recreational park located in Beijing’s Haidian District, known for its lakes, gardens, and cultural attractions.
-
E.
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.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfa98348190b9ac164ecdada6fe |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65570401c819084f9db2eff5fdf3e |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.