Triple
T15682335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batong Line (Beijing Subway) |
E377607
|
entity |
| Predicate | interchangeStation |
P15892
|
FINISHED |
| Object | Tuqiao 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: Tuqiao Station | Statement: [Batong Line (Beijing Subway), interchangeStation, Tuqiao Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuqiao Station Context triple: [Batong Line (Beijing Subway), interchangeStation, Tuqiao Station]
-
A.
Tuqiao Station
chosen
Tuqiao Station is a subway station on Beijing's Batong Line serving the eastern suburbs of the city.
-
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.
Huanbei Station
Huanbei Station is a metro station in Taoyuan, Taiwan, serving as one end of the Taoyuan Airport MRT line and providing access to the surrounding urban area.
-
D.
Daliao Station
Daliao Station is a metro station in Kaohsiung, Taiwan, serving as the eastern endpoint of the Kaohsiung MRT Orange Line.
-
E.
Lijiao Station
Lijiao Station is an interchange station on the Guangzhou Metro system in Guangzhou, China, serving as a local transit hub for passengers in its surrounding urban area.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f31b5b881908e46ecd9fc6048ab |
completed | April 16, 2026, 2:53 a.m. |
Created at: April 10, 2026, 4:16 a.m.