Triple
T2263704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle Creek |
E50095
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Cereal City
Cereal City is a nickname for Battle Creek, Michigan, reflecting its historic role as a major center of breakfast cereal production.
|
E251812
|
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: Cereal City | Statement: [Battle Creek, nickname, Cereal City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cereal City Context triple: [Battle Creek, nickname, Cereal City]
-
A.
Soda City
Soda City is a popular nickname for Columbia, South Carolina, reflecting the city's historic association with the soft drink industry and its vibrant local culture.
-
B.
Nasonville
Nasonville is a village and census-designated place in the town of Burrillville in northern Rhode Island.
-
C.
Monaca
Monaca is a small borough located along the Ohio River in Beaver County, Pennsylvania, known historically for its industrial and riverfront character.
-
D.
Bornheim
Bornheim is a lively residential and nightlife district in Frankfurt am Main, Germany, known for its traditional cider taverns, historic streets, and vibrant local culture.
-
E.
River City
River City is a common nickname and place name in the United States, often referring to cities situated along major rivers and popularized in American culture and media.
- 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: Cereal City Triple: [Battle Creek, nickname, Cereal City]
Generated description
Cereal City is a nickname for Battle Creek, Michigan, reflecting its historic role as a major center of breakfast cereal production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cereal City Target entity description: Cereal City is a nickname for Battle Creek, Michigan, reflecting its historic role as a major center of breakfast cereal production.
-
A.
Soda City
Soda City is a popular nickname for Columbia, South Carolina, reflecting the city's historic association with the soft drink industry and its vibrant local culture.
-
B.
Nasonville
Nasonville is a village and census-designated place in the town of Burrillville in northern Rhode Island.
-
C.
Monaca
Monaca is a small borough located along the Ohio River in Beaver County, Pennsylvania, known historically for its industrial and riverfront character.
-
D.
Bornheim
Bornheim is a lively residential and nightlife district in Frankfurt am Main, Germany, known for its traditional cider taverns, historic streets, and vibrant local culture.
-
E.
River City
River City is a common nickname and place name in the United States, often referring to cities situated along major rivers and popularized in American culture and media.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18d7fc08190851765683d1b8092 |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71cfd3b08190988474aa0fa985fe |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae7688583c8190abb05be41103762a |
completed | March 9, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae76ec3c0c8190bfb7d25b435c777f |
completed | March 9, 2026, 7:29 a.m. |
Created at: March 4, 2026, 7:48 p.m.