Triple

T17846966
Position Surface form Disambiguated ID Type / Status
Subject Central Valley (Costa Rica) E445688 entity
Predicate hasMajorCity P316 FINISHED
Object Atenas
Atenas is a small town in Costa Rica’s Central Valley known for its mild climate, coffee production, and scenic rural landscapes.
E1292140 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: Atenas | Statement: [Central Valley (Costa Rica), hasMajorCity, Atenas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atenas
Context triple: [Central Valley (Costa Rica), hasMajorCity, Atenas]
  • A. Ateni
    Ateni is a historic village in eastern Georgia known for its nearby medieval Ateni Sioni Church and scenic river valley setting.
  • B. Atina
    Atina is a historic hill town in Italy’s Lazio region, known for its medieval architecture and scenic position in the Comino Valley.
  • C. Athens
    Athens is Greece’s largest city and a historic center of ancient civilization, renowned as the birthplace of democracy and Western philosophy.
  • D. Athens
    Athens is a historic college town in northeastern Georgia, best known as the home of the University of Georgia and for its vibrant music and arts scene.
  • E. Athens
    Athens is a small town in Mercer County, West Virginia, best known as the home of Concord University.
  • 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: Atenas
Triple: [Central Valley (Costa Rica), hasMajorCity, Atenas]
Generated description
Atenas is a small town in Costa Rica’s Central Valley known for its mild climate, coffee production, and scenic rural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Atenas
Target entity description: Atenas is a small town in Costa Rica’s Central Valley known for its mild climate, coffee production, and scenic rural landscapes.
  • A. Ateni
    Ateni is a historic village in eastern Georgia known for its nearby medieval Ateni Sioni Church and scenic river valley setting.
  • B. Atina
    Atina is a historic hill town in Italy’s Lazio region, known for its medieval architecture and scenic position in the Comino Valley.
  • C. Athens
    Athens is a small rural municipality in eastern Ontario, Canada, known for its historic village character and proximity to the Thousand Islands region.
  • D. Athens
    Athens is Greece’s largest city and a historic center of ancient civilization, renowned as the birthplace of democracy and Western philosophy.
  • E. Athens
    Athens is a historic college town in northeastern Georgia, best known as the home of the University of Georgia and for its vibrant music and arts scene.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffb35248190a80a428686e06d87 completed April 19, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a030c5c53b88190bd641a310ad29923 completed May 12, 2026, 11:17 a.m.
NEDg Description generation batch_6a030d22013c8190801475da925e0ab9 completed May 12, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_6a030dd233208190b7af976e68e4296c completed May 12, 2026, 11:24 a.m.
Created at: April 10, 2026, 10:16 a.m.