Triple
T12291813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Metro Line 18 |
E292981
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Guoquan Road station
Guoquan Road station is a metro station in Shanghai, China, serving passengers on the city's Line 18.
|
E981720
|
NE FINISHED |
How this triple was built (4 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: Guoquan Road station | Statement: [Shanghai Metro Line 18, hasStation, Guoquan Road station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guoquan Road station Context triple: [Shanghai Metro Line 18, hasStation, Guoquan Road station]
-
A.
Shiguang Road station
Shiguang Road station is a Shanghai Metro station that serves as the northern terminus of Line 8 in Shanghai, China.
-
B.
Zhongke Road station
Zhongke Road station is a metro station on Shanghai's Line 13 serving the Zhangjiang Hi-Tech Park area in Pudong.
-
C.
Youyi Road station
Youyi Road station is a metro station on the Shanghai Metro network serving passengers in the Baoshan District of Shanghai, China.
-
D.
Huapeng Road station
Huapeng Road station is a metro station on the Shanghai Metro network serving passengers along Line 13 in Shanghai, China.
-
E.
Tiantong Road station
Tiantong Road station is a Shanghai Metro station located in the Hongkou District, serving as part of the city's extensive urban rail transit network.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Guoquan Road station Triple: [Shanghai Metro Line 18, hasStation, Guoquan Road station]
Generated description
Guoquan Road station is a metro station in Shanghai, China, serving passengers on the city's Line 18.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guoquan Road station Target entity description: Guoquan Road station is a metro station in Shanghai, China, serving passengers on the city's Line 18.
-
A.
Shiguang Road station
Shiguang Road station is a Shanghai Metro station that serves as the northern terminus of Line 8 in Shanghai, China.
-
B.
Zhongke Road station
Zhongke Road station is a metro station on Shanghai's Line 13 serving the Zhangjiang Hi-Tech Park area in Pudong.
-
C.
Youyi Road station
Youyi Road station is a metro station on the Shanghai Metro network serving passengers in the Baoshan District of Shanghai, China.
-
D.
Huapeng Road station
Huapeng Road station is a metro station on the Shanghai Metro network serving passengers along Line 13 in Shanghai, China.
-
E.
Tiantong Road station
Tiantong Road station is a Shanghai Metro station located in the Hongkou District, serving as part of the city's extensive urban rail transit network.
- F. None of above. chosen
Provenance (5 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d22ba488190914342fa7e69e159 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634667db88190ac1368dc38daac73 |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f637575a9c8190b677b59e9739af49 |
completed | May 2, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6380223d08190959e524ad146d0e0 |
completed | May 2, 2026, 5:44 p.m. |
Created at: April 8, 2026, 9:52 p.m.