Triple
T2097725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yu Garden |
E37019
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Yuyuan Tourist Mart |
E190319
|
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: Yuyuan Tourist Mart | Statement: [Yu Garden, near, Yuyuan Tourist Mart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuyuan Tourist Mart Context triple: [Yu Garden, near, Yuyuan Tourist Mart]
-
A.
Yuyuan Garden
chosen
Yuyuan Garden is a famous classical Chinese garden in Shanghai known for its traditional pavilions, ponds, rockeries, and Ming–Qing era architectural style.
-
B.
Shanghai Culture Square
Shanghai Culture Square is a major performing arts venue in Shanghai, China, renowned for hosting large-scale musicals and cultural events.
-
C.
Shanghai Guoji Saichechang
Shanghai Guoji Saichechang is a major motorsport race track in Shanghai, China, best known for hosting the Formula One Chinese Grand Prix.
-
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.
Qibao Old Street
Qibao Old Street is a historic, canal-side pedestrian street in Shanghai known for its traditional architecture, temples, street food, and preserved old-town atmosphere.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba9cb84481909fe0a66c020b8864 |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3060b834819091dff510b89b3ec8 |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:43 p.m.