Triple

T6939473
Position Surface form Disambiguated ID Type / Status
Subject San José Province E160636 entity
Predicate contains P35 FINISHED
Object Escazú
Escazú is an affluent suburban city in Costa Rica known for its upscale residential areas, shopping centers, and proximity to the capital, San José.
 E628643 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: Escazú | Statement: [San José Province, contains, Escazú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Escazú
Context triple: [San José Province, contains, Escazú]
  • A. Bohigas
    Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
  • B. Arganzuela
    Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
  • C. Fuendetodos
    Fuendetodos is a small village in the province of Zaragoza, Spain, best known as the birthplace of the renowned painter Francisco de Goya.
  • D. Baceno
    Baceno is a small municipality in the Piedmont region of northern Italy, located in the alpine province of Verbano-Cusio-Ossola near the Swiss border.
  • E. Riosucio
    Riosucio is a Colombian town known for its rich cultural traditions and the famous Carnival of Riosucio, celebrated in the Caldas Department.
  • 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: Escazú
Triple: [San José Province, contains, Escazú]
Generated description
Escazú is an affluent suburban city in Costa Rica known for its upscale residential areas, shopping centers, and proximity to the capital, San José.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Escazú
Target entity description: Escazú is an affluent suburban city in Costa Rica known for its upscale residential areas, shopping centers, and proximity to the capital, San José.
  • A. Bohigas
    Bohigas is a Spanish architect, notably associated with major urban and sports venue projects in Barcelona.
  • B. Arganzuela
    Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
  • C. Fuendetodos
    Fuendetodos is a small village in the province of Zaragoza, Spain, best known as the birthplace of the renowned painter Francisco de Goya.
  • D. Baceno
    Baceno is a small municipality in the Piedmont region of northern Italy, located in the alpine province of Verbano-Cusio-Ossola near the Swiss border.
  • E. Riosucio
    Riosucio is a Colombian town known for its rich cultural traditions and the famous Carnival of Riosucio, celebrated in the Caldas Department.
  • 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.