Triple
T4480642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiamen |
E100120
|
entity |
| Predicate | hasMetroSystem |
P522
|
FINISHED |
| Object |
Xiamen Metro
Xiamen Metro is the rapid transit system serving the coastal city of Xiamen in Fujian Province, China, providing urban and suburban rail transportation.
|
E443753
|
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: Xiamen Metro | Statement: [Xiamen, hasMetroSystem, Xiamen Metro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiamen Metro Context triple: [Xiamen, hasMetroSystem, Xiamen Metro]
-
A.
Shenzhen Metro
Shenzhen Metro is the rapid transit system serving the city of Shenzhen, China, known for its extensive, modern network and role in supporting the region’s fast-paced urban development.
-
B.
Nanchang Metro
Nanchang Metro is the rapid transit system serving the city of Nanchang in Jiangxi Province, China.
-
C.
Shanghai Metro
Shanghai Metro is one of the world’s largest and busiest rapid transit systems, serving the city of Shanghai with an extensive network of urban and suburban rail lines.
-
D.
Guangzhou Metro
Guangzhou Metro is the rapid transit system serving Guangzhou, China, forming one of the country’s largest and busiest urban rail networks.
-
E.
Tianjin Metro
Tianjin Metro is the rapid transit system serving the city of Tianjin, China, providing urban and suburban rail transportation across the municipality.
- 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: Xiamen Metro Triple: [Xiamen, hasMetroSystem, Xiamen Metro]
Generated description
Xiamen Metro is the rapid transit system serving the coastal city of Xiamen in Fujian Province, China, providing urban and suburban rail transportation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xiamen Metro Target entity description: Xiamen Metro is the rapid transit system serving the coastal city of Xiamen in Fujian Province, China, providing urban and suburban rail transportation.
-
A.
Shenzhen Metro
Shenzhen Metro is the rapid transit system serving the city of Shenzhen, China, known for its extensive, modern network and role in supporting the region’s fast-paced urban development.
-
B.
Nanchang Metro
Nanchang Metro is the rapid transit system serving the city of Nanchang in Jiangxi Province, China.
-
C.
Shanghai Metro
Shanghai Metro is one of the world’s largest and busiest rapid transit systems, serving the city of Shanghai with an extensive network of urban and suburban rail lines.
-
D.
Guangzhou Metro
Guangzhou Metro is the rapid transit system serving Guangzhou, China, forming one of the country’s largest and busiest urban rail networks.
-
E.
Tianjin Metro
Tianjin Metro is the rapid transit system serving the city of Tianjin, China, providing urban and suburban rail transportation across the municipality.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356dcaba88190ae2d64c038450ca6 |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6377c694881909428b5cffb405c8d |
completed | March 15, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69b6384b32c08190969a892ccc135b2f |
completed | March 15, 2026, 4:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b63c3585b08190ab6837ffdb6db73e |
completed | March 15, 2026, 4:57 a.m. |
Created at: March 12, 2026, 11:36 p.m.