Triple
T3190407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanchang |
E66806
|
entity |
| Predicate | hasMetroSystem |
P522
|
FINISHED |
| Object |
Nanchang Metro
Nanchang Metro is the rapid transit system serving the city of Nanchang in Jiangxi Province, China.
|
E336612
|
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: Nanchang Metro | Statement: [Nanchang, hasMetroSystem, Nanchang Metro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanchang Metro Context triple: [Nanchang, hasMetroSystem, Nanchang Metro]
-
A.
Hefei Metro
Hefei Metro is the rapid transit system serving Hefei, the capital city of China’s Anhui Province, providing urban rail transportation across the metropolitan area.
-
B.
Nanjing Metro
Nanjing Metro is the rapid transit system serving the city of Nanjing, China, comprising multiple urban and suburban lines that form a major part of the city's public transportation network.
-
C.
Changzhou Metro
Changzhou Metro is the urban rapid transit system serving the city of Changzhou in Jiangsu Province, China.
-
D.
Wuhan Metro
Wuhan Metro is the rapid transit system serving the city of Wuhan, China, providing urban rail transportation across its major districts.
-
E.
Hangzhou Metro
Hangzhou Metro is the rapid transit system serving the city of Hangzhou, China, providing urban and suburban rail transportation across the metropolitan area.
- 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: Nanchang Metro Triple: [Nanchang, hasMetroSystem, Nanchang Metro]
Generated description
Nanchang Metro is the rapid transit system serving the city of Nanchang in Jiangxi Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nanchang Metro Target entity description: Nanchang Metro is the rapid transit system serving the city of Nanchang in Jiangxi Province, China.
-
A.
Hefei Metro
Hefei Metro is the rapid transit system serving Hefei, the capital city of China’s Anhui Province, providing urban rail transportation across the metropolitan area.
-
B.
Nanjing Metro
Nanjing Metro is the rapid transit system serving the city of Nanjing, China, comprising multiple urban and suburban lines that form a major part of the city's public transportation network.
-
C.
Changzhou Metro
Changzhou Metro is the urban rapid transit system serving the city of Changzhou in Jiangsu Province, China.
-
D.
Wuhan Metro
Wuhan Metro is the rapid transit system serving the city of Wuhan, China, providing urban rail transportation across its major districts.
-
E.
Hangzhou Metro
Hangzhou Metro is the rapid transit system serving the city of Hangzhou, China, providing urban and suburban rail transportation across the metropolitan area.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e7d0d081908b1c36bb909a58bf |
completed | March 8, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b9a9bc88190b7090bda8fe6260c |
completed | March 12, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69b24d677ca8819094cb03360ac885da |
completed | March 12, 2026, 5:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b25178f3c08190be78bdbd0cdfc5f3 |
completed | March 12, 2026, 5:39 a.m. |
Created at: March 8, 2026, 3:07 p.m.