Triple
T8859402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 15 (Shanghai Metro) |
E210846
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Yishan Road station |
E797615
|
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: Yishan Road station | Statement: [Line 15 (Shanghai Metro), hasStation, Yishan Road station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yishan Road station Context triple: [Line 15 (Shanghai Metro), hasStation, Yishan Road station]
-
A.
Yishan Road station
chosen
Yishan Road station is an interchange station on the Shanghai Metro serving multiple lines in the Xuhui District of Shanghai, China.
-
B.
Youyi Road station
Youyi Road station is a metro station on the Shanghai Metro network serving passengers in the Baoshan District of Shanghai, China.
-
C.
Yaohua Road station
Yaohua Road station is a Shanghai Metro interchange station serving the Pudong area near the former Expo 2010 site.
-
D.
Jinyun Road station
Jinyun Road station is a metro station in Shanghai, China, serving passengers on the city's Line 13.
-
E.
Wenshui Road station
Wenshui Road station is a metro station in Shanghai, China, serving passengers on the city's extensive rapid transit 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_69d369226a28819088b14cbc4cb78e57 |
completed | April 6, 2026, 8:04 a.m. |
Created at: March 30, 2026, 6:50 p.m.