Triple
T893204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swansea |
E19285
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Copperopolis
Copperopolis is a historical nickname for the Welsh city of Swansea, reflecting its past prominence as a major center of copper smelting and industry.
|
E106002
|
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: Copperopolis | Statement: [Swansea, hasNickname, Copperopolis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Copperopolis Context triple: [Swansea, hasNickname, Copperopolis]
-
A.
Tinopolis
Tinopolis is the nickname of the Welsh town of Llanelli, historically renowned for its large tinplate industry.
-
B.
Crown City
Crown City is a nickname for Pasadena, California, highlighting its reputation as an elegant, historically rich city known for events like the Rose Parade.
-
C.
Golden City
Golden City is a poetic nickname for Prague, highlighting the city's historic skyline of gilded spires and sunlit architecture.
-
D.
River City
River City is a popular nickname for Sacramento, California, highlighting the city’s close connection to the nearby American and Sacramento Rivers.
-
E.
River City
River City is a popular nickname for Wuhan, a major central Chinese metropolis known for its location at the confluence of the Yangtze and Han rivers.
- 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: Copperopolis Triple: [Swansea, hasNickname, Copperopolis]
Generated description
Copperopolis is a historical nickname for the Welsh city of Swansea, reflecting its past prominence as a major center of copper smelting and industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Copperopolis Target entity description: Copperopolis is a historical nickname for the Welsh city of Swansea, reflecting its past prominence as a major center of copper smelting and industry.
-
A.
Tinopolis
Tinopolis is the nickname of the Welsh town of Llanelli, historically renowned for its large tinplate industry.
-
B.
Crown City
Crown City is a nickname for Pasadena, California, highlighting its reputation as an elegant, historically rich city known for events like the Rose Parade.
-
C.
Golden City
Golden City is a poetic nickname for Prague, highlighting the city's historic skyline of gilded spires and sunlit architecture.
-
D.
River City
River City is a popular nickname for Sacramento, California, highlighting the city’s close connection to the nearby American and Sacramento Rivers.
-
E.
River City
River City is a popular nickname for Wuhan, a major central Chinese metropolis known for its location at the confluence of the Yangtze and Han rivers.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad212cd8819091eb1b7d606f5afd |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c025464081908032939637248635 |
completed | March 4, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_69a7c227893c8190a4ce35637365014f |
completed | March 4, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c2f1d0508190ad47eeb8099fd9f9 |
completed | March 4, 2026, 5:28 a.m. |
Created at: March 1, 2026, 7:39 p.m.