Triple
T8859407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 15 (Shanghai Metro) |
E210846
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Zhoupu Xincun station |
E766040
|
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: Zhoupu Xincun station | Statement: [Line 15 (Shanghai Metro), hasStation, Zhoupu Xincun station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhoupu Xincun station Context triple: [Line 15 (Shanghai Metro), hasStation, Zhoupu Xincun station]
-
A.
Zhoupu Xincun station
chosen
Zhoupu Xincun station is a Shanghai Metro station serving as the southern terminus of Line 15 in the city’s Pudong New Area.
-
B.
Puhuangyu station
Puhuangyu station is a Beijing Subway station serving the Fengtai District as part of the city's extensive rapid transit network.
-
C.
Zhichunlu station
Zhichunlu station is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
D.
Yanchengpu Station
Yanchengpu Station is an underground metro station in Kaohsiung, Taiwan, serving the historic Yancheng District and nearby cultural and waterfront attractions.
-
E.
Xinzhuang Station
Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e536648190ba8da1375478c24f |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1c3c6c08190b51ea5e9cf7085e9 |
completed | April 3, 2026, 1:33 p.m. |
Created at: March 30, 2026, 6:50 p.m.