Triple
T21150283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xujiahui |
E521168
|
entity |
| Predicate | hasTransportation |
P105
|
FINISHED |
| Object | Xujiahui Station |
—
|
NE NERFINISHED |
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: [Xujiahui, hasTransportation, Xujiahui Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xujiahui Station Context triple: [Xujiahui, hasTransportation, 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.
West Nanjing Road Station
West Nanjing Road Station is a major Shanghai Metro interchange and access point to the busy commercial and shopping district along West Nanjing Road in central Shanghai.
-
C.
Hongqiao Road Station
Hongqiao Road Station is a major Shanghai Metro interchange station serving multiple lines in the western part of the city.
-
D.
Nanpu station
Nanpu station is a metro station in Guangzhou, China, serving passengers on the city’s Line 2 rapid transit route.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72400911c8190978e88138a9bfaff |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:58 p.m.