Triple
T9547234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Metro Line 3 |
E230322
|
entity |
| Predicate | connectsKeyNode |
P845
|
FINISHED |
| Object | Caoxi Road station |
E795404
|
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: Caoxi Road station | Statement: [Shanghai Metro Line 3, connectsKeyNode, Caoxi Road station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caoxi Road station Context triple: [Shanghai Metro Line 3, connectsKeyNode, Caoxi Road station]
-
A.
Caoxi Road station
chosen
Caoxi Road station is a Shanghai Metro station serving the Xuhui District, providing access to nearby commercial and residential areas.
-
B.
Shiguang Road station
Shiguang Road station is a Shanghai Metro station that serves as the northern terminus of Line 8 in Shanghai, China.
-
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.
Yaohua Road station
Yaohua Road station is a Shanghai Metro interchange station serving the Pudong area near the former Expo 2010 site.
-
E.
Huapeng Road station
Huapeng Road station is a metro station on the Shanghai Metro network serving passengers along Line 13 in 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9904732c8190ab60ecc47c995cbe |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a77b6fac81909a9b0998f5dd1e58 |
completed | April 8, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:02 p.m.