Triple

T6939483
Position Surface form Disambiguated ID Type / Status
Subject San José Province E160636 entity
Predicate contains P35 FINISHED
Object Acosta
Acosta is a rural canton in Costa Rica known for its mountainous landscapes, coffee farming, and location within the San José Province.
E628650 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: Acosta | Statement: [San José Province, contains, Acosta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acosta
Context triple: [San José Province, contains, Acosta]
  • A. La Coche
    La Coche is one of the small islands in the Les Saintes archipelago in the Caribbean, known for its rugged coastline and surrounding marine life.
  • B. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • C. Diez
    Diez is a small historic town in western Germany’s Rhineland-Palatinate, known for its picturesque setting on the Lahn River and its prominent hilltop castle.
  • D. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • E. Espinosa
    Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • 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: Acosta
Triple: [San José Province, contains, Acosta]
Generated description
Acosta is a rural canton in Costa Rica known for its mountainous landscapes, coffee farming, and location within the San José Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Acosta
Target entity description: Acosta is a rural canton in Costa Rica known for its mountainous landscapes, coffee farming, and location within the San José Province.
  • A. La Coche
    La Coche is one of the small islands in the Les Saintes archipelago in the Caribbean, known for its rugged coastline and surrounding marine life.
  • B. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • C. Diez
    Diez is a small historic town in western Germany’s Rhineland-Palatinate, known for its picturesque setting on the Lahn River and its prominent hilltop castle.
  • D. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • E. Espinosa
    Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da641ce08190a133c9ba4977755d completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515880948190970cadd7adeda435 completed March 28, 2026, 3:56 a.m.
NEDg Description generation batch_69c7524e3ef48190a78601ca290f133d completed March 28, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_69c752dca6e08190a087898d99c015ac completed March 28, 2026, 4:02 a.m.
Created at: March 27, 2026, 2:28 p.m.