Triple
T15665348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wenhu line |
E377171
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Nanjing Fuxing station |
E637184
|
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: Nanjing Fuxing station | Statement: [Wenhu line, hasStation, Nanjing Fuxing station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanjing Fuxing station Context triple: [Wenhu line, hasStation, Nanjing Fuxing station]
-
A.
Nanjing Sanmin Station
Nanjing Sanmin Station is a metro station in Taipei, Taiwan, serving the Songshan District on the Taipei Metro network.
-
B.
Nanjing South Railway Station
Nanjing South Railway Station is a major high-speed rail and transportation hub in Nanjing, China, integrating national rail services with multiple urban metro lines.
-
C.
Nanjing Railway Station
Nanjing Railway Station is a major transportation hub in Nanjing, China, serving as a key railway and metro interchange for regional and long-distance travel.
-
D.
Nanjing Fuxing metro station
chosen
Nanjing Fuxing metro station is a major interchange station on the Taipei Metro system, serving both the Wenhu and Songshan–Xindian lines in central Taipei.
-
E.
Xihu Station
Xihu Station is a metro station in Taipei, Taiwan, serving the Neihu District and providing access to nearby commercial and entertainment areas.
- 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_69ff7569d30c8190a711d78d05e9b8c5 |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 4:16 a.m.