Triple
T9153434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luwan District |
E219645
|
entity |
| Predicate | notablePark |
P57942
|
FINISHED |
| Object | Fuxing Park |
E188535
|
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: Fuxing Park | Statement: [Luwan District, notablePark, Fuxing Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuxing Park Context triple: [Luwan District, notablePark, Fuxing Park]
-
A.
Fuxing Park
chosen
Fuxing Park is a historic European-style public park in Shanghai known for its landscaped gardens, open plazas, and lively local social scene.
-
B.
Chaoyang Park
Chaoyang Park is a large urban recreational park in Beijing known for its lakes, green spaces, and cultural and sporting facilities.
-
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.
Changfeng Park
Changfeng Park is a large urban park in Shanghai known for its lakes, green spaces, and recreational facilities.
-
E.
Weiwuying Metropolitan Park
Weiwuying Metropolitan Park is a large urban green space in Kaohsiung, Taiwan, known for its expansive lawns, recreational facilities, and integration with the nearby Weiwuying National Kaohsiung Center for the Arts.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96e323881909cbf4d6708f24f79 |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065c9dcf08190804bd1ae8f7874dc |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:20 p.m.