Triple
T9642228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhongshan Road (Shanghai) |
E233099
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Zhongshan South Road |
E233099
|
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 South Road | Statement: [Zhongshan Road (Shanghai), hasSection, Zhongshan South Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhongshan South Road Context triple: [Zhongshan Road (Shanghai), hasSection, Zhongshan South Road]
-
A.
Chunxi Road
Chunxi Road is a bustling commercial and pedestrian street in Chengdu, China, known for its shopping, dining, and vibrant urban atmosphere.
-
B.
Zhongshan Road
chosen
Zhongshan Road is the historic waterfront thoroughfare in Shanghai that runs along the Bund, lined with iconic colonial-era buildings and views of the Huangpu River.
-
C.
Zhongshan Road
Zhongshan Road is a famous pedestrian shopping and dining street in Xiamen, China, known for its historic architecture, local snacks, and vibrant nightlife.
-
D.
Tianhe Road
Tianhe Road is a major commercial and traffic artery in Guangzhou’s Tianhe District, lined with shopping centers, offices, and urban amenities.
-
E.
Zhongshan Avenue
Zhongshan Avenue is a major thoroughfare in Guangzhou, China, serving as one of the city’s key commercial and transportation corridors.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b7cda388190a38f96d78085f404 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190eaac248190a19be2ceb333372f |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:12 p.m.