Triple
T14841264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 8 (Beijing Subway) |
E348969
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Zhuxinzhuang station |
E447941
|
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: Zhuxinzhuang station | Statement: [Line 8 (Beijing Subway), hasStation, Zhuxinzhuang station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhuxinzhuang station Context triple: [Line 8 (Beijing Subway), hasStation, Zhuxinzhuang station]
-
A.
Zhuxinzhuang station
chosen
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.
-
B.
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.
-
C.
Lianglukou Station
Lianglukou Station is a major interchange station on the Chongqing Metro system in Chongqing, China, serving as a key hub for urban rail transit.
-
D.
Chongwenmen station
Chongwenmen station is a major interchange stop on the Beijing Subway serving central Beijing near the historic Chongwenmen gate area.
-
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 (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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28e40f08190b309d8ac6404d2fc |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb590b5cc8190b5f586e0fd2988f6 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 1:53 a.m.