Triple
T239273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cundinamarca |
E4891
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Anapoima
Anapoima is a warm-climate resort town and popular weekend getaway located in the Cundinamarca department of central Colombia.
|
E33515
|
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: Anapoima | Statement: [Cundinamarca, contains, Anapoima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anapoima Context triple: [Cundinamarca, contains, Anapoima]
-
A.
Soacha
Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
-
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.
Girardot
Girardot is a Colombian city known as a major tourist and commercial center on the Magdalena River, popular for its warm climate and resort tourism.
-
D.
Boyacá Department
Boyacá Department is a region in central Colombia known for its Andean landscapes, colonial towns like Villa de Leyva, and its historical role in the country’s independence.
-
E.
Ubaté
Ubaté is a town and municipality in central Colombia known for its dairy production and colonial-era architecture.
- 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: Anapoima Triple: [Cundinamarca, contains, Anapoima]
Generated description
Anapoima is a warm-climate resort town and popular weekend getaway located in the Cundinamarca department of central Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anapoima Target entity description: Anapoima is a warm-climate resort town and popular weekend getaway located in the Cundinamarca department of central Colombia.
-
A.
Soacha
Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
-
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.
Girardot
Girardot is a Colombian city known as a major tourist and commercial center on the Magdalena River, popular for its warm climate and resort tourism.
-
D.
Boyacá Department
Boyacá Department is a region in central Colombia known for its Andean landscapes, colonial towns like Villa de Leyva, and its historical role in the country’s independence.
-
E.
Ubaté
Ubaté is a town and municipality in central Colombia known for its dairy production and colonial-era architecture.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25ceaecdc81909e9ff49cb6a4e02a |
completed | Feb. 28, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3837270f88190af91bab054bd1fbb |
completed | March 1, 2026, 12:08 a.m. |
| NEDg | Description generation | batch_69a384140aec8190ab918512cf088464 |
completed | March 1, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3848c0ed08190acf0d0e33ca8b41c |
completed | March 1, 2026, 12:13 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.