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.