Triple

T6093597
Position Surface form Disambiguated ID Type / Status
Subject Bolívar Department E135824 entity
Predicate contains P35 FINISHED
Object San Cristóbal
San Cristóbal is a locality situated within Colombia’s Bolívar Department, known as part of the Caribbean region of the country.
 E572113 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: San Cristóbal | Statement: [Bolívar Department, contains, San Cristóbal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Cristóbal
Context triple: [Bolívar Department, contains, San Cristóbal]
  • A. San Cristóbal
    San Cristóbal is an active stratovolcano in northwestern Nicaragua and one of the most prominent and frequently erupting volcanoes in the Central American region.
  • B. San Cristóbal
    San Cristóbal is a municipality in western Cuba located within Artemisa Province.
  • C. San Cristobal
    San Cristobal is the former name of Makira, a large island in the Solomon Islands known for its rich biodiversity and traditional Melanesian culture.
  • D. Todos Santos
    Todos Santos was the original name of what is now Concord, California, a town that began as a small 19th-century agricultural community in the East Bay region.
  • E. Montecristi
    Montecristi is a historic town in coastal Ecuador renowned as the traditional birthplace and production center of the Panama hat.
  • 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: San Cristóbal
Triple: [Bolívar Department, contains, San Cristóbal]
Generated description
San Cristóbal is a locality situated within Colombia’s Bolívar Department, known as part of the Caribbean region of the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Cristóbal
Target entity description: San Cristóbal is a locality situated within Colombia’s Bolívar Department, known as part of the Caribbean region of the country.
  • A. San Cristóbal
    San Cristóbal is an active stratovolcano in northwestern Nicaragua and one of the most prominent and frequently erupting volcanoes in the Central American region.
  • B. San Cristóbal
    San Cristóbal is a municipality in western Cuba located within Artemisa Province.
  • C. San Cristobal
    San Cristobal is the former name of Makira, a large island in the Solomon Islands known for its rich biodiversity and traditional Melanesian culture.
  • D. Todos Santos
    Todos Santos was the original name of what is now Concord, California, a town that began as a small 19th-century agricultural community in the East Bay region.
  • E. Montecristi
    Montecristi is a historic town in coastal Ecuador renowned as the traditional birthplace and production center of the Panama hat.
  • 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_69c135879c988190bd35fa01674d6a15 completed March 23, 2026, 12:43 p.m.
NEDg Description generation batch_69c139e500c8819092834f51f3ea3ebc completed March 23, 2026, 1:02 p.m.
NED2 Entity disambiguation (via description) batch_69c13a4fa888819088a4174486427777 completed March 23, 2026, 1:04 p.m.
Created at: March 22, 2026, 4:12 p.m.