Triple

T13506455
Position Surface form Disambiguated ID Type / Status
Subject Alajuela Province E321025 entity
Predicate contains P35 FINISHED
Object Atenas Canton
Atenas Canton is an administrative subdivision in Costa Rica known for its rural landscapes, coffee production, and mild climate.
E1045566 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 Canton | Statement: [Alajuela Province, contains, Atenas Canton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atenas Canton
Context triple: [Alajuela Province, contains, Atenas Canton]
  • A. Aigio
    Aigio is a coastal town in northern Peloponnese, Greece, known for its port on the Gulf of Corinth and its role as a regional commercial and agricultural center.
  • B. Nea Penteli
    Nea Penteli is a suburban town in the northern part of the Athens metropolitan area in Greece.
  • C. Dimos
    Dimos is a Greek masculine given name commonly used as a diminutive form of Demetrios (Dimitrios).
  • D. Volissos
    Volissos is a traditional village on the Greek island of Chios, known for its medieval castle, stone houses, and scenic hillside setting overlooking the sea.
  • E. Prefecture of Arcadia
    The Prefecture of Arcadia was a former administrative division in the central Peloponnese region of Greece, encompassing the historic, mountainous area traditionally known as Arcadia.
  • 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 Canton
Triple: [Alajuela Province, contains, Atenas Canton]
Generated description
Atenas Canton is an administrative subdivision in Costa Rica known for its rural landscapes, coffee production, and mild climate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Atenas Canton
Target entity description: Atenas Canton is an administrative subdivision in Costa Rica known for its rural landscapes, coffee production, and mild climate.
  • A. Aigio
    Aigio is a coastal town in northern Peloponnese, Greece, known for its port on the Gulf of Corinth and its role as a regional commercial and agricultural center.
  • B. Nea Penteli
    Nea Penteli is a suburban town in the northern part of the Athens metropolitan area in Greece.
  • C. Dimos
    Dimos is a Greek masculine given name commonly used as a diminutive form of Demetrios (Dimitrios).
  • D. Volissos
    Volissos is a traditional village on the Greek island of Chios, known for its medieval castle, stone houses, and scenic hillside setting overlooking the sea.
  • E. Prefecture of Arcadia
    The Prefecture of Arcadia was a former administrative division in the central Peloponnese region of Greece, encompassing the historic, mountainous area traditionally known as Arcadia.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf8259a08190ada13c4a3078f07d completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7548e51b881909a3384812556bc3d completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f757108e088190aeec031eccc9aca3 completed May 3, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69f757e7322c8190b0e36e8373d42ac4 completed May 3, 2026, 2:12 p.m.
Created at: April 9, 2026, 9:43 p.m.