Triple
T15645503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhonghe–Xinlu line |
E376165
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Xianse Temple 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: Xianse Temple station | Statement: [Zhonghe–Xinlu line, hasStation, Xianse Temple station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xianse Temple station Context triple: [Zhonghe–Xinlu line, hasStation, Xianse Temple station]
-
A.
Xianse Temple Station
chosen
Xianse Temple Station is a metro station in New Taipei, Taiwan, that serves the Sanchong District on the Taipei Metro network.
-
B.
Longshan Temple station
Longshan Temple station is a Taipei Metro rapid transit station serving the historic Wanhua district and the nearby Longshan Temple.
-
C.
Shandao Temple station
Shandao Temple station is a metro station on the Taipei Metro system in Taiwan, serving the area around the historic Shandao Temple.
-
D.
Ximenkou station
Ximenkou station is an underground metro station on the Guangzhou Metro system, located near the historic Ximenkou area in central Guangzhou, China.
-
E.
Changshou Lu Station
Changshou Lu Station is an underground metro station on the Guangzhou Metro system serving the bustling Changshou Road commercial area in Guangzhou, China.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
Created at: April 10, 2026, 4:15 a.m.