Triple
T9912320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 1 (Guangzhou Metro) |
E185773
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Linhexi station
Linhexi station is a major interchange stop on the Guangzhou Metro system in Guangzhou, China, connecting multiple lines and serving the busy Tianhe District.
|
E872856
|
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: Linhexi station | Statement: [Line 1 (Guangzhou Metro), servesStation, Linhexi station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linhexi station Context triple: [Line 1 (Guangzhou Metro), servesStation, Linhexi station]
-
A.
Ximen Station
Ximen Station is a major Taipei Metro interchange station in the Ximending shopping and entertainment district of Taipei, Taiwan.
-
B.
Xicun Station
Xicun Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro network.
-
C.
Pingxifu station
Pingxifu station is a subway station in Beijing, China, serving passengers on the city's Line 8 metro route.
-
D.
Guanyinsi station
Guanyinsi station is a metro stop on Beijing’s Daxing Airport Express line serving passengers traveling between the city and Beijing Daxing International Airport.
-
E.
Zhenru station
Zhenru station is an interchange station on the Shanghai Metro serving multiple lines in the Putuo 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: Linhexi station Triple: [Line 1 (Guangzhou Metro), servesStation, Linhexi station]
Generated description
Linhexi station is a major interchange stop on the Guangzhou Metro system in Guangzhou, China, connecting multiple lines and serving the busy Tianhe District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linhexi station Target entity description: Linhexi station is a major interchange stop on the Guangzhou Metro system in Guangzhou, China, connecting multiple lines and serving the busy Tianhe District.
-
A.
Ximen Station
Ximen Station is a major Taipei Metro interchange station in the Ximending shopping and entertainment district of Taipei, Taiwan.
-
B.
Xicun Station
Xicun Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro network.
-
C.
Pingxifu station
Pingxifu station is a subway station in Beijing, China, serving passengers on the city's Line 8 metro route.
-
D.
Guanyinsi station
Guanyinsi station is a metro stop on Beijing’s Daxing Airport Express line serving passengers traveling between the city and Beijing Daxing International Airport.
-
E.
Zhenru station
Zhenru station is an interchange station on the Shanghai Metro serving multiple lines in the Putuo 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb5391b8081908094b88cdde4b55a |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94ae0a9608190ab241b6a62fe807b |
completed | April 10, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69d94c6fa9ac8190819a399754d2bd15 |
completed | April 10, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d953440a508190a50d1897cdbeba03 |
completed | April 10, 2026, 7:45 p.m. |
Created at: March 30, 2026, 8:41 p.m.