Triple
T10380532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Nanjing Road Station |
E244626
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Nanjing Road |
E36007
|
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: Nanjing Road | Statement: [East Nanjing Road Station, serves, Nanjing Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanjing Road Context triple: [East Nanjing Road Station, serves, Nanjing Road]
-
A.
Nanjing Road
chosen
Nanjing Road is one of Shanghai’s most famous and busiest commercial streets, renowned for its shopping, neon lights, and historic significance.
-
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.
Chunxi Road
Chunxi Road is a bustling commercial and pedestrian street in Chengdu, China, known for its shopping, dining, and vibrant urban atmosphere.
-
D.
Chengdu Road
Chengdu Road is a prominent thoroughfare in Taipei’s Ximending district, known for its dense concentration of shops, eateries, and entertainment venues.
-
E.
Suzhou Street
Suzhou Street is a reconstructed Qing-dynasty style commercial water town within Beijing’s Summer Palace, featuring traditional canalside shops and architecture designed to evoke the historic charm of Suzhou.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e991056c8190a981f717c51f1f72 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7958803e88190a7bbeda4f2c6f32c |
completed | April 9, 2026, 12:03 p.m. |
Created at: April 6, 2026, 12:03 p.m.