Triple

T13716295
Position Surface form Disambiguated ID Type / Status
Subject Mountain Empire region of San Diego County E328907 entity
Predicate contains P35 FINISHED
Object 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.
 E1058219 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: [Mountain Empire region of San Diego County, contains, Campo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Campo
Context triple: [Mountain Empire region of San Diego County, 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. Field
    Field is a large-scale installation artwork by Antony Gormley consisting of thousands of small, hand-formed clay figures densely arranged to transform and animate architectural space.
  • D. Field
    Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
  • E. Campos
    Campos is a rural municipality and town in the southeast of Mallorca, Spain, known for its traditional agriculture and proximity to some of the island’s most famous beaches.
  • 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: [Mountain Empire region of San Diego County, contains, Campo]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Campo
Target entity description: 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.
  • 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. Field
    Field is a large-scale installation artwork by Antony Gormley consisting of thousands of small, hand-formed clay figures densely arranged to transform and animate architectural space.
  • D. Field
    Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
  • E. Campos
    Campos is a rural municipality and town in the southeast of Mallorca, Spain, known for its traditional agriculture and proximity to some of the island’s most famous beaches.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4398f0448190810c840a82228706 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5878948190a2aaab2ba31bd1ed completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79e9e6ff88190b031fb1403cacabc completed May 3, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f7a2d6e7ec81908a4cbc324e793c24 completed May 3, 2026, 7:32 p.m.
Created at: April 9, 2026, 9:54 p.m.