Triple
T6093591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolívar Department |
E135824
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Cantagallo
Cantagallo is a municipality and town located in the Bolívar Department of northern Colombia, known for its rural character and proximity to the Magdalena River.
|
E567957
|
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: Cantagallo | Statement: [Bolívar Department, contains, Cantagallo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cantagallo Context triple: [Bolívar Department, contains, Cantagallo]
-
A.
Costa Alegre
Costa Alegre is a scenic stretch of Mexico’s Pacific coastline in Jalisco known for its secluded beaches, luxury resorts, and unspoiled natural beauty.
-
B.
Valdés
Valdés is a Spanish surname historically borne by various notable figures across the Spanish-speaking world.
-
C.
Andalgalá
Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
-
D.
Chinandega
Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
-
E.
Catriel
Catriel is a small city in Argentina known for its oil and gas industry, located in the northern part of Río Negro Province.
- 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: Cantagallo Triple: [Bolívar Department, contains, Cantagallo]
Generated description
Cantagallo is a municipality and town located in the Bolívar Department of northern Colombia, known for its rural character and proximity to the Magdalena River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cantagallo Target entity description: Cantagallo is a municipality and town located in the Bolívar Department of northern Colombia, known for its rural character and proximity to the Magdalena River.
-
A.
Costa Alegre
Costa Alegre is a scenic stretch of Mexico’s Pacific coastline in Jalisco known for its secluded beaches, luxury resorts, and unspoiled natural beauty.
-
B.
Valdés
Valdés is a Spanish surname historically borne by various notable figures across the Spanish-speaking world.
-
C.
Andalgalá
Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
-
D.
Chinandega
Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
-
E.
Catriel
Catriel is a small city in Argentina known for its oil and gas industry, located in the northern part of Río Negro Province.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a9516ec819093e94ee8d3244e1b |
completed | March 22, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125365a7481909e40d01c2d3590aa |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c125c1a230819095dd0a56309880eb |
completed | March 23, 2026, 11:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c126c641448190a826c213e8ab05af |
completed | March 23, 2026, 11:40 a.m. |
Created at: March 22, 2026, 4:12 p.m.