Triple
T15665353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wenhu line |
E377171
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Xihu station |
E1015122
|
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: Xihu station | Statement: [Wenhu line, hasStation, Xihu station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xihu station Context triple: [Wenhu line, hasStation, Xihu station]
-
A.
Xihu Station
chosen
Xihu Station is a metro station in Taipei, Taiwan, serving the Neihu District and providing access to nearby commercial and entertainment areas.
-
B.
Xinzhuang Station
Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
-
C.
Jinyintan Station
Jinyintan Station is a metro station in Wuhan, China, serving passengers on the city's Line 2 rapid transit route.
-
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.
Banqiao Station
Banqiao Station is a major transportation hub in New Taipei, Taiwan, serving high-speed rail, conventional rail, metro, and bus services.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0f4df08190ad2c5d78e435d8eb |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a022308f26081909d9c77d8327fee8e |
completed | May 11, 2026, 6:42 p.m. |
Created at: April 10, 2026, 4:16 a.m.