Triple
T15645491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhonghe–Xinlu line |
E376165
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Nanshijiao station |
E1258828
|
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: Nanshijiao station | Statement: [Zhonghe–Xinlu line, hasStation, Nanshijiao station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanshijiao station Context triple: [Zhonghe–Xinlu line, hasStation, Nanshijiao station]
-
A.
Nanshijiao station
chosen
Nanshijiao station is a metro station in New Taipei, Taiwan, serving as a key terminal stop on the Taipei Metro system.
-
B.
Shuangqiao Station
Shuangqiao Station is a subway station in Beijing, China, serving as one of the stops on the city's urban rail transit network.
-
C.
Jiangzicui station
Jiangzicui station is a metro station on the Taipei Metro system in New Taipei City, Taiwan, serving the Bannan (Blue) Line.
-
D.
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.
-
E.
Caishikou station
Caishikou station is a Beijing Subway interchange station serving central Beijing, known for connecting Line 4 with other key routes near the historic Caishikou area.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180bd1e5c8190a6a96581ce8a37de |
completed | May 11, 2026, 7:09 a.m. |
Created at: April 10, 2026, 4:15 a.m.