Triple
T17803167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinshan District |
E444485
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Jinshan Hot Spring Street |
—
|
NE NERFINISHED |
How this triple was built (3 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: Jinshan Hot Spring Street | Statement: [Jinshan District, hasAttraction, Jinshan Hot Spring Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jinshan Hot Spring Street Context triple: [Jinshan District, hasAttraction, Jinshan Hot Spring Street]
-
A.
Yishan Road
Yishan Road is a Shanghai Metro interchange station serving multiple lines in the Xuhui District of Shanghai, China.
-
B.
Huashan Road
Huashan Road is a notable street in Shanghai’s former French Concession, known for its mix of historic architecture, embassies, universities, and cultural venues.
-
C.
Jinshajiang Road
Jinshajiang Road is a major interchange station in the Shanghai Metro system, serving multiple lines in the Putuo District of Shanghai, China.
-
D.
Kongjiang Road
Kongjiang Road is a street located in Shanghai’s Yangpu District, known for its mix of residential neighborhoods, local commerce, and access to public transportation.
-
E.
Caishikou Street
Caishikou Street is a historic thoroughfare in Beijing, China, known for its traditional markets, shops, and role as a major commercial and cultural artery in the city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jinshan Hot Spring Street Target entity description: Jinshan Hot Spring Street is a popular hot spring and leisure area in New Taipei City’s Jinshan District, known for its public baths, spa resorts, and traditional street-side hot spring culture.
-
A.
Yishan Road
Yishan Road is a Shanghai Metro interchange station serving multiple lines in the Xuhui District of Shanghai, China.
-
B.
Huashan Road
Huashan Road is a notable street in Shanghai’s former French Concession, known for its mix of historic architecture, embassies, universities, and cultural venues.
-
C.
Jinshajiang Road
Jinshajiang Road is a major interchange station in the Shanghai Metro system, serving multiple lines in the Putuo District of Shanghai, China.
-
D.
Kongjiang Road
Kongjiang Road is a street located in Shanghai’s Yangpu District, known for its mix of residential neighborhoods, local commerce, and access to public transportation.
-
E.
Caishikou Street
Caishikou Street is a historic thoroughfare in Beijing, China, known for its traditional markets, shops, and role as a major commercial and cultural artery in the city.
- F. None of above. chosen
Provenance (2 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4880171608190be2088c7a387bfb7 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:13 a.m.