Triple
T489227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Springfield, Illinois |
E9948
|
entity |
| Predicate | hasNickName |
P39
|
FINISHED |
| Object |
Flower City
Flower City is a nickname for Springfield, the capital city of Illinois in the United States.
|
E63287
|
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: Flower City | Statement: [Springfield, Illinois, hasNickName, Flower City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flower City Context triple: [Springfield, Illinois, hasNickName, Flower City]
-
A.
Canton
Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
-
B.
Rochester
Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
-
C.
Kingston, New York
Kingston, New York is a historic city in the Hudson Valley that served as the first capital of New York State and is known for its well-preserved colonial architecture and waterfront district.
-
D.
Brew City
Brew City is a popular nickname for Milwaukee, Wisconsin, reflecting its historic and influential beer-brewing industry.
-
E.
Collar City
Collar City is the nickname for Troy, New York, historically known as a major center of shirt-collar and textile manufacturing.
- 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: Flower City Triple: [Springfield, Illinois, hasNickName, Flower City]
Generated description
Flower City is a nickname for Springfield, the capital city of Illinois in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flower City Target entity description: Flower City is a nickname for Springfield, the capital city of Illinois in the United States.
-
A.
Canton
Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
-
B.
Rochester
Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
-
C.
Kingston, New York
Kingston, New York is a historic city in the Hudson Valley that served as the first capital of New York State and is known for its well-preserved colonial architecture and waterfront district.
-
D.
Brew City
Brew City is a popular nickname for Milwaukee, Wisconsin, reflecting its historic and influential beer-brewing industry.
-
E.
Collar City
Collar City is the nickname for Troy, New York, historically known as a major center of shirt-collar and textile manufacturing.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0e0a9648190b6a3b2da3a3b51e6 |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4984b8c848190a35d98d6d5858304 |
completed | March 1, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69a499da231c8190abd973d9ac3969ff |
completed | March 1, 2026, 7:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a49b0045b481908f5e863d61b7e17e |
completed | March 1, 2026, 8:01 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.