Triple
T6470801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cárdenas |
E142343
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Flag City
Flag City is the nickname of Cárdenas, a Cuban city known for its historical role in displaying and defending the Cuban flag.
|
E596355
|
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: Flag City | Statement: [Cárdenas, hasNickname, Flag City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flag City Context triple: [Cárdenas, hasNickname, Flag City]
-
A.
Bell City
Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
-
B.
The Capital City
The Capital City is a nickname for Springfield, Illinois, highlighting its role as the state’s governmental center and seat of the Illinois state capitol.
-
C.
Hat City
Hat City is the nickname of Danbury, Connecticut, reflecting its historic prominence as a major center of hat manufacturing in the United States.
-
D.
Collar City
Collar City is the nickname for Troy, New York, historically known as a major center of shirt-collar and textile manufacturing.
-
E.
Gateway City
Gateway City is a nickname for St. Louis, Missouri, highlighting its historic role as a major entry point to the American West.
- 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: Flag City Triple: [Cárdenas, hasNickname, Flag City]
Generated description
Flag City is the nickname of Cárdenas, a Cuban city known for its historical role in displaying and defending the Cuban flag.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flag City Target entity description: Flag City is the nickname of Cárdenas, a Cuban city known for its historical role in displaying and defending the Cuban flag.
-
A.
Bell City
Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
-
B.
The Capital City
The Capital City is a nickname for Springfield, Illinois, highlighting its role as the state’s governmental center and seat of the Illinois state capitol.
-
C.
Hat City
Hat City is the nickname of Danbury, Connecticut, reflecting its historic prominence as a major center of hat manufacturing in the United States.
-
D.
Collar City
Collar City is the nickname for Troy, New York, historically known as a major center of shirt-collar and textile manufacturing.
-
E.
Gateway City
Gateway City is a nickname for St. Louis, Missouri, highlighting its historic role as a major entry point to the American West.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a2e896481908ed004e3b0a33121 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6539c93c481909bed35b68ce420d8 |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c6559d06c8819082cad37d62fcb3a3 |
completed | March 27, 2026, 10:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6564e01748190a3a12abcc0dfd30f |
completed | March 27, 2026, 10:05 a.m. |
Created at: March 22, 2026, 4:50 p.m.