Triple
T17402640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 16 (Beijing Subway) |
E423130
|
entity |
| Predicate | stationServed |
P6301
|
FINISHED |
| Object | Xiyuanqiao 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: Xiyuanqiao station | Statement: [Line 16 (Beijing Subway), stationServed, Xiyuanqiao station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiyuanqiao station Context triple: [Line 16 (Beijing Subway), stationServed, Xiyuanqiao station]
-
A.
Xiyuan station
chosen
Xiyuan station is a stop on the Beijing Subway network located in the Haidian District, serving passengers near attractions such as the Summer Palace.
-
B.
Lianhuaqiao station
Lianhuaqiao station is a Beijing Subway interchange station serving the western part of the city near the Lianhua Bridge area.
-
C.
Zhuxinzhuang station
Zhuxinzhuang station is a Beijing Subway interchange station in Changping District that serves as a key stop on Line 8 and connects with other suburban lines.
-
D.
Gongyixiqiao station
Gongyixiqiao station is a Beijing Subway station serving the southern part of the city on Line 4.
-
E.
Yong’anli station
Yong’anli station is an underground stop on Beijing’s busy east–west subway corridor serving the central Chaoyang District near major commercial and diplomatic areas.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b046ad88190a95bbeda4e602514 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:45 a.m.