Triple

T21112258
Position Surface form Disambiguated ID Type / Status
Subject Battle of Bomboná E520201 entity
Predicate location P40 FINISHED
Object Bomboná
Bomboná is a locality in southwestern Colombia known historically as the site of the Battle of Bomboná during the Latin American wars of independence.
E1467970 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: Bomboná | Statement: [Battle of Bomboná, location, Bomboná]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bomboná
Context triple: [Battle of Bomboná, location, Bomboná]
  • A. Bombon
    Bombon is a municipality, likely in the Philippines, known as the namesake and administrative area associated with the Bombon dialect.
  • B. Bon-Bon
    Bon-Bon is a common affectionate nickname, often used for people named Bonnie or for characters in popular media.
  • C. Bombo
    Bombo is a 1934 American comedy film starring the British music hall duo Flanagan and Allen, known for its lighthearted musical numbers and slapstick humor.
  • D. Bombo
    Bombo is a coastal locality in New South Wales, Australia, known for its dramatic basalt cliffs and beaches near the town of Kiama.
  • E. Bamboléo
    "Bamboléo" is a popular 1987 rumba flamenca song by the Gipsy Kings that became one of their signature international hits.
  • 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: Bomboná
Triple: [Battle of Bomboná, location, Bomboná]
Generated description
Bomboná is a locality in southwestern Colombia known historically as the site of the Battle of Bomboná during the Latin American wars of independence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bomboná
Target entity description: Bomboná is a locality in southwestern Colombia known historically as the site of the Battle of Bomboná during the Latin American wars of independence.
  • A. Bombon
    Bombon is a municipality, likely in the Philippines, known as the namesake and administrative area associated with the Bombon dialect.
  • B. Bon-Bon
    Bon-Bon is a common affectionate nickname, often used for people named Bonnie or for characters in popular media.
  • C. Bombo
    Bombo is a 1934 American comedy film starring the British music hall duo Flanagan and Allen, known for its lighthearted musical numbers and slapstick humor.
  • D. Bombo
    Bombo is a coastal locality in New South Wales, Australia, known for its dramatic basalt cliffs and beaches near the town of Kiama.
  • E. Bamboléo
    "Bamboléo" is a popular 1987 rumba flamenca song by the Gipsy Kings that became one of their signature international hits.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72102d99c8190a1ea5a6981da6da0 completed April 21, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965e013388190a058d84063e22694 completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a09670987f0819086b021581db69c85 completed May 17, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0967cefab08190b01e2c897f081105 completed May 17, 2026, 7:01 a.m.
Created at: April 16, 2026, 2:54 p.m.