Triple
T15029425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanzhou railway station |
E378302
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
LZJ
LZJ is the station code used to identify Lanzhou railway station in China’s railway network.
|
E1133993
|
NE FINISHED |
How this triple was built (4 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: LZJ | Statement: [Lanzhou railway station, hasStationCode, LZJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LZJ Context triple: [Lanzhou railway station, hasStationCode, LZJ]
-
A.
Xinjian Lujun
Xinjian Lujun was a modernized military force of late imperial China that played a key role in attempts to reform and strengthen the Qing dynasty’s army.
-
B.
Liangjie
Liangjie is the given name of Dongshan Liangjie, a prominent 9th-century Chan (Zen) Buddhist master associated with the Caodong/Sōtō school in China.
-
C.
Li Zhu
Li Zhu, better known by his temple name Emperor Ai of Tang, was the penultimate emperor of the Tang dynasty who reigned briefly during its final years of decline.
-
D.
Zhihong
Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
-
E.
Jianwei
Jianwei is a given name most notably borne by Pan Jianwei, a prominent Chinese quantum physicist recognized for his pioneering work in quantum communication and quantum computing.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LZJ Triple: [Lanzhou railway station, hasStationCode, LZJ]
Generated description
LZJ is the station code used to identify Lanzhou railway station in China’s railway network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LZJ Target entity description: LZJ is the station code used to identify Lanzhou railway station in China’s railway network.
-
A.
Xinjian Lujun
Xinjian Lujun was a modernized military force of late imperial China that played a key role in attempts to reform and strengthen the Qing dynasty’s army.
-
B.
Liangjie
Liangjie is the given name of Dongshan Liangjie, a prominent 9th-century Chan (Zen) Buddhist master associated with the Caodong/Sōtō school in China.
-
C.
Li Zhu
Li Zhu, better known by his temple name Emperor Ai of Tang, was the penultimate emperor of the Tang dynasty who reigned briefly during its final years of decline.
-
D.
Zhihong
Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
-
E.
Jianwei
Jianwei is a given name most notably borne by Pan Jianwei, a prominent Chinese quantum physicist recognized for his pioneering work in quantum communication and quantum computing.
- F. None of above. chosen
Provenance (5 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e0e8c88190ac6f5786b4d4040f |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd967588190821cf47e9734db21 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9e5dbbe0819084567688758b0245 |
completed | May 9, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9eedca1481908ce438991184d62e |
completed | May 9, 2026, 2:41 a.m. |
Created at: April 10, 2026, 2:59 a.m.