Triple
T7366427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autopista Medellín |
E169880
|
entity |
| Predicate | isMajorRouteBetween |
P13914
|
FINISHED |
| Object |
Bogotá and Medellín
Bogotá and Medellín are Colombia’s two largest and most important cities, serving as major centers of politics, culture, and commerce in the country.
|
E679065
|
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: Bogotá and Medellín | Statement: [Autopista Medellín, isMajorRouteBetween, Bogotá and Medellín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bogotá and Medellín Context triple: [Autopista Medellín, isMajorRouteBetween, Bogotá and Medellín]
-
A.
Medellín
Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
-
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.
Bucaramanga
Bucaramanga is a major city in northeastern Colombia known for its mountainous setting, pleasant climate, and role as an important commercial and industrial center.
-
D.
Cali
Cali is a major city in southwestern Colombia known as an important economic center and the country’s capital of salsa.
-
E.
Manizales
Manizales is a mountainous Colombian city known for its coffee production, cool climate, and location in the central Andes.
- 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: Bogotá and Medellín Triple: [Autopista Medellín, isMajorRouteBetween, Bogotá and Medellín]
Generated description
Bogotá and Medellín are Colombia’s two largest and most important cities, serving as major centers of politics, culture, and commerce in the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bogotá and Medellín Target entity description: Bogotá and Medellín are Colombia’s two largest and most important cities, serving as major centers of politics, culture, and commerce in the country.
-
A.
Medellín
Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
-
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.
Bucaramanga
Bucaramanga is a major city in northeastern Colombia known for its mountainous setting, pleasant climate, and role as an important commercial and industrial center.
-
D.
Cali
Cali is a major city in southwestern Colombia known as an important economic center and the country’s capital of salsa.
-
E.
Manizales
Manizales is a mountainous Colombian city known for its coffee production, cool climate, and location in the central Andes.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f163038481909dedbffb4ae7f860 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89a63b7e481909198ea21d7ee5159 |
completed | March 29, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69c89c3cec988190abc4869dda1b4d05 |
completed | March 29, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89c7494b081909862cbaa1152cfb7 |
completed | March 29, 2026, 3:28 a.m. |
Created at: March 27, 2026, 3:06 p.m.