Triple
T9642225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhongshan Road (Shanghai) |
E233099
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | The Bund area |
E38100
|
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: The Bund area | Statement: [Zhongshan Road (Shanghai), partOf, The Bund area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Bund area Context triple: [Zhongshan Road (Shanghai), partOf, The Bund area]
-
A.
The Bund
chosen
The Bund is Shanghai’s historic waterfront promenade along the Huangpu River, famed for its colonial-era architecture and iconic skyline views.
-
B.
Diamond District
The Diamond District is Antwerp’s renowned commercial hub where a large share of the world’s diamonds are traded, cut, and polished.
-
C.
Diamond District
The Diamond District is a coastal residential neighborhood in Lynn, Massachusetts, known for its historic homes and proximity to Lynn and Nahant beaches.
-
D.
Diamond District
Diamond District is a famed New York City neighborhood known for its dense concentration of jewelry shops and diamond dealers.
-
E.
Chinatown commercial district
The Chinatown commercial district in San Francisco is a historic, densely packed neighborhood known for its Chinese shops, restaurants, markets, and cultural landmarks that make it a major tourist destination and cultural hub.
- 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_69d189fd53fc8190bc36f2b8e0e21036 |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:12 p.m.