Triple

T18447924
Position Surface form Disambiguated ID Type / Status
Subject Ribeira Grande E450704 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Paul
Paul is a small town on the island of Santo Antão in Cape Verde, known for its lush mountainous landscapes and traditional rural life.
E670652 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: Paul | Statement: [Ribeira Grande, hasNearbySettlement, Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul
Context triple: [Ribeira Grande, hasNearbySettlement, Paul]
  • A. Paul
    Paul is the middle-aged American widower portrayed by Marlon Brando in the controversial 1972 film "Last Tango in Paris."
  • B. Paul
    Paul is a laid-back, charming sperm donor whose unexpected involvement with his biological children disrupts a lesbian couple’s family dynamic in the film "The Kids Are All Right."
  • C. Paul
    Paul is a 2011 sci-fi comedy film about two British geeks who encounter a wisecracking alien during a road trip across the United States.
  • D. Paul
    Paul is a fictional character from Wallace Thurman's Harlem Renaissance novel "Infants of the Spring," which satirically portrays life in a bohemian Black artists' colony.
  • E. Paul
    Paul is a character in the film "Her," known as Theodore Twombly’s supportive and easygoing close friend.
  • 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: Paul
Triple: [Ribeira Grande, hasNearbySettlement, Paul]
Generated description
Paul is a small town on the island of Santo Antão in Cape Verde, known for its lush mountainous landscapes and traditional rural life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paul
Target entity description: Paul is a small town on the island of Santo Antão in Cape Verde, known for its lush mountainous landscapes and traditional rural life.
  • A. Paul chosen
    Paul is a notable town on the Cape Verdean island of Santo Antão, known for its lush valleys and traditional rural life.
  • B. Paul
    Paul is a village and civil parish in Cornwall, England, known for its historic church and coastal setting near Penzance.
  • C. Paul
    Paul is a central early Christian apostle and missionary, traditionally credited with writing many New Testament letters and shaping much of Christian theology.
  • D. Paul
    Paul is an early Christian apostle and missionary whose letters form a significant portion of the New Testament and profoundly shaped Christian theology.
  • E. Paul
    Paul is a fictional character from Wallace Thurman's Harlem Renaissance novel "Infants of the Spring," which satirically portrays life in a bohemian Black artists' colony.
  • F. None of above.

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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52645cb88819086b0e70b6613edcd completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fe1ac6c8190a803ce4b048e2520 completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a04123430308190af22a11b2151c8b8 completed May 13, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_6a04131eb4988190af4024bfcad648bc completed May 13, 2026, 5:58 a.m.
Created at: April 10, 2026, 11:30 a.m.