Triple

T8881646
Position Surface form Disambiguated ID Type / Status
Subject Reguengos de Monsaraz E211424 entity
Predicate contains P35 FINISHED
Object Campo
Campo is a civil parish located within the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
 E764202 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: [Reguengos de Monsaraz, contains, Campo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Campo
Context triple: [Reguengos de Monsaraz, contains, Campo]
  • A. Campo
    Campo is a town located in the South Region of Brazil.
  • B. 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.
  • C. Field
    Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
  • D. 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.
  • E. The Great Field
    The Great Field is an ancient Egyptian royal burial ground on the west bank of the Nile at Luxor, renowned for its rock-cut tombs of New Kingdom pharaohs and nobles.
  • 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: [Reguengos de Monsaraz, contains, Campo]
Generated description
Campo is a civil parish located within the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Campo
Target entity description: Campo is a civil parish located within the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
  • A. Campo
    Campo is a town located in the South Region of Brazil.
  • B. 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.
  • C. Field
    Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
  • D. 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.
  • E. The Great Field
    The Great Field is an ancient Egyptian royal burial ground on the west bank of the Nile at Luxor, renowned for its rock-cut tombs of New Kingdom pharaohs and nobles.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6168e3d881908c58cf11cf5f9a0e completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabca74888190934593d6504fbed1 completed April 3, 2026, noon
NEDg Description generation batch_69cfac9c743c8190a26f753111f07281 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad54cf5c81908558fd4c21f2f3b6 completed April 3, 2026, 12:06 p.m.
Created at: March 30, 2026, 6:53 p.m.