Triple

T23246905
Position Surface form Disambiguated ID Type / Status
Subject South Region (Cameroon) E581605 entity
Predicate contains P35 FINISHED
Object Campo
Campo is a coastal town and commune in southwestern Cameroon known for its proximity to the Campo Ma’an National Park and the border with Equatorial Guinea.
 E1577522 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: Campo | Statement: [South Region (Cameroon), contains, Campo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Campo
Context triple: [South Region (Cameroon), contains, Campo]
  • A. Campo
    Campo is a civil parish located within the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
  • B. Campo
    Campo is a town located in the South Region of Brazil.
  • C. Campo
    Campo is a small rural community in southeastern San Diego County, California, known for its historic railroad, military history sites, and proximity to the U.S.–Mexico border.
  • D. Campo
    Campo is the nickname of David Campese, the legendary Australian rugby union winger renowned for his attacking flair and try-scoring prowess.
  • E. Campo
    Campo is a coastal locality or feature situated within or along the Atlantic Ocean.
  • 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
Triple: [South Region (Cameroon), contains, Campo]
Generated description
Campo is a coastal town and commune in southwestern Cameroon known for its proximity to the Campo Ma’an National Park and the border with Equatorial Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Campo
Target entity description: Campo is a coastal town and commune in southwestern Cameroon known for its proximity to the Campo Ma’an National Park and the border with Equatorial Guinea.
  • A. Campo
    Campo is a town located in the South Region of Brazil.
  • B. Campo
    Campo is a civil parish located within the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
  • C. Campo
    Campo is a small rural community in southeastern San Diego County, California, known for its historic railroad, military history sites, and proximity to the U.S.–Mexico border.
  • D. Campo
    Campo is the nickname of David Campese, the legendary Australian rugby union winger renowned for his attacking flair and try-scoring prowess.
  • E. Campo
    Campo is a coastal locality or feature situated within or along the Atlantic Ocean.
  • 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f1e8448190b8420a8dc6e24576 completed April 29, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f64150c819089baca6a70e0587a completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4043d00481908f8d72d80c8ec692 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40d700188190a34ad429ec84e710 completed May 19, 2026, 10:52 a.m.
Created at: April 17, 2026, 4:10 p.m.