Triple
T21150288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xujiahui |
E521168
|
entity |
| Predicate | hasRoad |
P959
|
FINISHED |
| Object | Hongqiao 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: Hongqiao Road | Statement: [Xujiahui, hasRoad, Hongqiao Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hongqiao Road Context triple: [Xujiahui, hasRoad, Hongqiao Road]
-
A.
Hongqiao Road
chosen
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.
-
B.
Baoqing Road
Baoqing Road is a street in central Taipei, Taiwan, located in the vicinity of the historic Presidential Office Building and other key government and commercial areas.
-
C.
Zhuguang Road
Zhuguang Road is a station on Shanghai's Metro network serving Line 17 in the western part of the city.
-
D.
Yangshupu Road
Yangshupu Road is a station on the Shanghai Metro system located in the Yangpu District along the Huangpu River.
-
E.
Zhenhua Road
Zhenhua Road is a major street running through Shenzhen’s Huaqiangbei commercial district, known for its dense concentration of electronics markets and retail activity.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72400911c8190978e88138a9bfaff |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:58 p.m.