Triple
T15645356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EasyCard |
E376162
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
悠遊卡
悠遊卡 is a widely used Taiwanese contactless smart card system for public transportation and electronic payments.
|
E1167607
|
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: 悠遊卡 | Statement: [EasyCard, nativeName, 悠遊卡]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 悠遊卡 Context triple: [EasyCard, nativeName, 悠遊卡]
-
A.
Beijing Yikatong
Beijing Yikatong is a rechargeable contactless smart card system used for paying fares on public transportation and other services throughout Beijing.
-
B.
Shenzhen Tong card
The Shenzhen Tong card is a rechargeable contactless smart card used for paying fares on public transportation and making small-value purchases throughout Shenzhen.
-
C.
Yang Cheng Tong card
The Yang Cheng Tong card is a rechargeable contactless smart card widely used in Guangzhou for convenient payment on public transportation and various retail purchases.
-
D.
Octopus card
The Octopus card is a rechargeable contactless smart card widely used in Hong Kong for public transport fares and everyday electronic payments.
-
E.
T-money card
The T-money card is a rechargeable contactless smart card widely used in South Korea for convenient payment of public transportation fares and small purchases.
- 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: 悠遊卡 Triple: [EasyCard, nativeName, 悠遊卡]
Generated description
悠遊卡 is a widely used Taiwanese contactless smart card system for public transportation and electronic payments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 悠遊卡 Target entity description: 悠遊卡 is a widely used Taiwanese contactless smart card system for public transportation and electronic payments.
-
A.
Beijing Yikatong
Beijing Yikatong is a rechargeable contactless smart card system used for paying fares on public transportation and other services throughout Beijing.
-
B.
Shenzhen Tong card
The Shenzhen Tong card is a rechargeable contactless smart card used for paying fares on public transportation and making small-value purchases throughout Shenzhen.
-
C.
Yang Cheng Tong card
The Yang Cheng Tong card is a rechargeable contactless smart card widely used in Guangzhou for convenient payment on public transportation and various retail purchases.
-
D.
Octopus card
The Octopus card is a rechargeable contactless smart card widely used in Hong Kong for public transport fares and everyday electronic payments.
-
E.
T-money card
The T-money card is a rechargeable contactless smart card widely used in South Korea for convenient payment of public transportation fares and small purchases.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed400ec8190a14a9f7cf3092865 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f4e558481909a39fdc5d104994a |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff5ffaefb4819094468ff0008740f8 |
completed | May 9, 2026, 4:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6062f0ac819081270f270ce2f057 |
completed | May 9, 2026, 4:27 p.m. |
Created at: April 10, 2026, 4:15 a.m.