Triple
T15549655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guanzhuang Station |
E370707
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
管庄站
管庄站 is a Beijing Subway station on Line 6 located in the eastern part of Beijing, China.
|
E1163220
|
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: 管庄站 | Statement: [Guanzhuang Station, nativeName, 管庄站]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 管庄站 Context triple: [Guanzhuang Station, nativeName, 管庄站]
-
A.
三元桥站
三元桥站 is a major interchange station in Beijing’s subway network, serving as a key transfer point between multiple metro lines and the airport express.
-
B.
Haidian Huangzhuang station
Haidian Huangzhuang station is a major interchange stop on the Beijing Subway located in Haidian District, serving as a key access point to nearby universities and commercial areas.
-
C.
Zhongtan Road station
Zhongtan Road station is a Shanghai Metro interchange station in the Putuo District that serves as a stop on Line 3 and connects with other urban transit routes.
-
D.
Guogongzhuang station
Guogongzhuang station is a Beijing Subway interchange station in the Fengtai District that serves as a key southern terminus and transfer point on the network.
-
E.
宋园路站
宋园路站 is a Shanghai Metro station located in the Changning District of Shanghai, China.
- 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: 管庄站 Triple: [Guanzhuang Station, nativeName, 管庄站]
Generated description
管庄站 is a Beijing Subway station on Line 6 located in the eastern part of Beijing, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 管庄站 Target entity description: 管庄站 is a Beijing Subway station on Line 6 located in the eastern part of Beijing, China.
-
A.
三元桥站
三元桥站 is a major interchange station in Beijing’s subway network, serving as a key transfer point between multiple metro lines and the airport express.
-
B.
Haidian Huangzhuang station
Haidian Huangzhuang station is a major interchange stop on the Beijing Subway located in Haidian District, serving as a key access point to nearby universities and commercial areas.
-
C.
Zhongtan Road station
Zhongtan Road station is a Shanghai Metro interchange station in the Putuo District that serves as a stop on Line 3 and connects with other urban transit routes.
-
D.
Guogongzhuang station
Guogongzhuang station is a Beijing Subway interchange station in the Fengtai District that serves as a key southern terminus and transfer point on the network.
-
E.
宋园路站
宋园路站 is a Shanghai Metro station located in the Changning District of Shanghai, China.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a93121881909d88ca55a39252ac |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff455dfbcc8190a93e90c59b2d3045 |
completed | May 9, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69ff467e5d6c8190ba3bf6557e683233 |
completed | May 9, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff470912bc8190a42ee312aca55872 |
completed | May 9, 2026, 2:39 p.m. |
Created at: April 10, 2026, 4:08 a.m.