Triple
T11799341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlántico Department |
E280582
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Campo de la Cruz
Campo de la Cruz is a small municipality and town in northern Colombia’s Atlántico Department, known for its agricultural activities and proximity to the Magdalena River.
|
E1306881
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campo de la Cruz Context triple: [Atlántico Department, hasMunicipality, Campo de la Cruz]
-
A.
Valle de los Caídos
Valle de los Caídos is a monumental basilica and memorial complex near Madrid built under Spain’s Francoist regime to honor Civil War dead and long associated with Francoist symbolism and controversy.
-
B.
Hill of San Lázaro
Hill of San Lázaro is a prominent elevation in Cartagena, Colombia, historically significant as the strategic site chosen for the construction of the Castillo San Felipe de Barajas fortress.
-
C.
Monte Santo
Monte Santo is a notable hill and pilgrimage site, particularly known for its religious significance and historic churches in Brazil.
-
D.
Santuario del Señor de la Misericordia
Santuario del Señor de la Misericordia is a prominent Catholic sanctuary and pilgrimage church in Tepatitlán de Morelos, Jalisco, Mexico, dedicated to the veneration of Christ under the title of the Lord of Mercy.
-
E.
Campos Square
Campos Square is a historic public square and bustling commercial hub located on Lagos Island in Lagos, Nigeria.
- 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: Campo de la Cruz Triple: [Atlántico Department, hasMunicipality, Campo de la Cruz]
Generated description
Campo de la Cruz is a small municipality and town in northern Colombia’s Atlántico Department, known for its agricultural activities and proximity to the Magdalena River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Campo de la Cruz Target entity description: Campo de la Cruz is a small municipality and town in northern Colombia’s Atlántico Department, known for its agricultural activities and proximity to the Magdalena River.
-
A.
Valle de los Caídos
Valle de los Caídos is a monumental basilica and memorial complex near Madrid built under Spain’s Francoist regime to honor Civil War dead and long associated with Francoist symbolism and controversy.
-
B.
Hill of San Lázaro
Hill of San Lázaro is a prominent elevation in Cartagena, Colombia, historically significant as the strategic site chosen for the construction of the Castillo San Felipe de Barajas fortress.
-
C.
Monte Santo
Monte Santo is a notable hill and pilgrimage site, particularly known for its religious significance and historic churches in Brazil.
-
D.
Santuario del Señor de la Misericordia
Santuario del Señor de la Misericordia is a prominent Catholic sanctuary and pilgrimage church in Tepatitlán de Morelos, Jalisco, Mexico, dedicated to the veneration of Christ under the title of the Lord of Mercy.
-
E.
Campos Square
Campos Square is a historic public square and bustling commercial hub located on Lagos Island in Lagos, Nigeria.
- F. None of above. chosen
Provenance (4 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c1a1390819092d68ddc32e4479f |
completed | May 12, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_6a037cfd596481909d0c361a11185194 |
completed | May 12, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037e7bbd1c8190a88f57cdf5bf30f5 |
completed | May 12, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:42 p.m.