Triple
T19214377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ximen Station |
E480441
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Chengdu Road |
—
|
NE NERFINISHED |
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: Chengdu Road | Statement: [Ximen Station, nearby, Chengdu Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chengdu Road Context triple: [Ximen Station, nearby, Chengdu Road]
-
A.
Chengdu Road
chosen
Chengdu Road is a prominent thoroughfare in Taipei’s Ximending district, known for its dense concentration of shops, eateries, and entertainment venues.
-
B.
Hongqiao Road
Hongqiao Road is a major transport hub and interchange station in Shanghai’s metro network, serving multiple lines and providing access to the busy Hongqiao commercial and residential area.
-
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.
Caoyang Road
Caoyang Road is a Shanghai Metro interchange station serving multiple lines in the Putuo District of Shanghai, China.
-
E.
Yuyuan Road
Yuyuan Road is a historic and culturally rich street in Shanghai known for its traditional architecture, local shops, and blend of old and modern urban life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa397c188190b85bcfd9afd8dce6 |
completed | April 20, 2026, 10:04 a.m. |
Created at: April 10, 2026, 1:22 p.m.