Triple
T8077584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Metro Line 1 |
E188529
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Xujiahui station |
E704930
|
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: Xujiahui station | Statement: [Shanghai Metro Line 1, hasStation, Xujiahui station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xujiahui station Context triple: [Shanghai Metro Line 1, hasStation, Xujiahui station]
-
A.
Xujiahui Station
chosen
Xujiahui Station is a major Shanghai Metro interchange and commercial hub serving the busy Xujiahui area in Shanghai, China.
-
B.
Hongqiao Road Station
Hongqiao Road Station is a major Shanghai Metro interchange station serving multiple lines in the western part of the city.
-
C.
East Nanjing Road Station
East Nanjing Road Station is a major Shanghai Metro interchange station serving the busy commercial and tourist district around Nanjing Road and The Bund.
-
D.
Chunxi Road Station
Chunxi Road Station is a major metro station in Chengdu, China, providing access to the popular commercial and shopping district around Chunxi Road.
-
E.
Dongsi station
Dongsi station is a Beijing Subway interchange station in central Beijing that serves both Line 5 and Line 6.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a184488190b19ef7066f0f5057 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93eddef48190b5f499a5b52428c8 |
completed | April 1, 2026, 3:41 a.m. |
Created at: March 30, 2026, 5:28 p.m.