Triple
T13718464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cali Dream Taylor |
E328963
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Cali
Cali is a given name commonly used as a feminine first name, often associated with modern, casual, and place-inspired naming trends.
|
E48415
|
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: Cali | Statement: [Cali Dream Taylor, givenName, Cali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cali Context triple: [Cali Dream Taylor, givenName, Cali]
-
A.
Cali
Cali is a major city in southwestern Colombia known as an important economic center and the country’s capital of salsa.
-
B.
Bogotá
Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
-
C.
Aburrá Metropolitan Area
The Aburrá Metropolitan Area is a major urban and industrial agglomeration in Antioquia, Colombia, centered on the city of Medellín and encompassing several surrounding municipalities in the Aburrá Valley.
-
D.
Medellín
Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
-
E.
Santa Marta
Santa Marta is a historic Caribbean port city in northern Colombia and one of the oldest surviving Spanish settlements in South America.
- 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: Cali Triple: [Cali Dream Taylor, givenName, Cali]
Generated description
Cali is a given name commonly used as a feminine first name, often associated with modern, casual, and place-inspired naming trends.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cali Target entity description: Cali is a given name commonly used as a feminine first name, often associated with modern, casual, and place-inspired naming trends.
-
A.
Cali
chosen
Cali is a major city in southwestern Colombia known as an important economic center and the country’s capital of salsa.
-
B.
Bogotá
Bogotá is the high-altitude capital and largest city of Colombia, known as a major political, economic, and cultural center in South America.
-
C.
Aburrá Metropolitan Area
The Aburrá Metropolitan Area is a major urban and industrial agglomeration in Antioquia, Colombia, centered on the city of Medellín and encompassing several surrounding municipalities in the Aburrá Valley.
-
D.
Medellín
Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
-
E.
Santa Marta
Santa Marta is a historic Caribbean port city in northern Colombia and one of the oldest surviving Spanish settlements in South America.
- F. None of above.
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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd439a121c81908cae964e7756274c |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1b661e4819087bac0cd84489baa |
completed | May 6, 2026, 8:16 p.m. |
| NEDg | Description generation | batch_69fba7f116608190b664d0dc8027af38 |
completed | May 6, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba8fe11c881908662d8e8e1720ea4 |
completed | May 6, 2026, 8:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.