Triple
T546851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiananmen Square |
E12750
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Zhongshan 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: Zhongshan Park | Statement: [Tiananmen Square, near, Zhongshan Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhongshan Park Context triple: [Tiananmen Square, near, Zhongshan Park]
-
A.
Yuexiu Park
Yuexiu Park is a large, historic urban park in central Guangzhou, China, known for its scenic lakes, cultural relics, and the iconic Five Rams Statue.
-
B.
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.
-
C.
Victoria Park
Victoria Park is a public urban park in Hamilton, New Zealand, known as a local green space for outdoor recreation and community activities.
-
D.
Hirakata Park
Hirakata Park is a long-running amusement park in Hirakata, Osaka Prefecture, Japan, featuring a variety of rides, seasonal events, and family-oriented attractions.
-
E.
Miyashita Park
Miyashita Park is a redeveloped urban park and shopping complex in Shibuya that combines green space, sports facilities, and commercial areas atop a multi-story building.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498e150e88190b35b1bc7a376ca07 |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4d044b03c8190b7c87b0da05e4d6e |
completed | March 1, 2026, 11:48 p.m. |
Created at: March 1, 2026, 7:32 p.m.