Triple
T15660290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jilong |
E376548
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Zhongzheng Park |
E376551
|
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: Zhongzheng Park | Statement: [Jilong, hasLandmark, Zhongzheng Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhongzheng Park Context triple: [Jilong, hasLandmark, Zhongzheng Park]
-
A.
Zhongzheng Park
chosen
Zhongzheng Park is a prominent hillside park in Keelung, Taiwan, best known for its large Guanyin statue, temples, and panoramic views over the harbor city.
-
B.
Xinsheng Park
Xinsheng Park is a major urban green space in Taipei, Taiwan, known for its landscaped gardens, recreational facilities, and role as a key site for large-scale public events.
-
C.
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.
-
D.
Zhongshan Park
Zhongshan Park is a major urban park and commercial hub in Shanghai, China, known for its green spaces, shopping centers, and role as a key public transit interchange.
-
E.
Zizhuyuan Park
Zizhuyuan Park is a large, scenic urban park in Beijing known for its bamboo groves, lakes, and classical Chinese garden landscapes.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef4e6a08190ad8bbafaa3612f22 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff679e0f2c8190bbcb7051c38e1580 |
completed | May 9, 2026, 4:58 p.m. |
Created at: April 10, 2026, 4:15 a.m.