Triple
T3295867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daxing Airport Express |
E69213
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object | Daxing Xincheng station |
E417956
|
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: Daxing Xincheng station | Statement: [Daxing Airport Express, station, Daxing Xincheng station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daxing Xincheng station Context triple: [Daxing Airport Express, station, Daxing Xincheng station]
-
A.
Daxing Airport station
chosen
Daxing Airport station is a major Beijing rail transit hub serving Beijing Daxing International Airport as the endpoint of the Daxing Airport Express line.
-
B.
Xizhimen station
Xizhimen station is a major interchange hub in the Beijing Subway system, connecting multiple lines and serving the busy Xizhimen commercial and transport area.
-
C.
Baliqiao Station
Baliqiao Station is a stop on Beijing’s Batong Line, serving passengers in the eastern part of the city’s subway network.
-
D.
Chongwenmen station
Chongwenmen station is a major interchange stop on the Beijing Subway serving central Beijing near the historic Chongwenmen gate area.
-
E.
Dongsi Shitiao station
Dongsi Shitiao station is a Beijing Subway station located in central Beijing, serving as a key stop on the city's metro network.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb077c60c81909782be5202ce5a43 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589b1574c8190a7cd897febdbdbe5 |
completed | March 14, 2026, 4:15 p.m. |
Created at: March 8, 2026, 3:10 p.m.