Triple
T8663915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 13 (Shanghai Metro) |
E205615
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Zhongchun Road station |
E822587
|
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: Zhongchun Road station | Statement: [Line 13 (Shanghai Metro), hasStation, Zhongchun Road station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhongchun Road station Context triple: [Line 13 (Shanghai Metro), hasStation, Zhongchun Road station]
-
A.
Zhongke Road station
Zhongke Road station is a metro station on Shanghai's Line 13 serving the Zhangjiang Hi-Tech Park area in Pudong.
-
B.
Zhichun Road station
Zhichun Road station is a Beijing Subway station serving the Haidian District, providing access to nearby universities, research institutes, and commercial areas.
-
C.
Shiguang Road station
Shiguang Road station is a Shanghai Metro station that serves as the northern terminus of Line 8 in Shanghai, China.
-
D.
Jinyun Road station
chosen
Jinyun Road station is a metro station in Shanghai, China, serving passengers on the city's Line 13.
-
E.
Zhaojiabang Road station
Zhaojiabang Road station is an interchange station on the Shanghai Metro serving multiple lines in the Xuhui District of Shanghai, China.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc489f7edc8190bde1b4dc09249207 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29964080881909fd07de536667fbd |
completed | April 5, 2026, 5:18 p.m. |
Created at: March 30, 2026, 6:30 p.m.