Triple

T19075235
Position Surface form Disambiguated ID Type / Status
Subject UCCI E466885 entity
Predicate hasMember P10 FINISHED
Object San José
San José is the capital and largest city of Costa Rica, known as the country’s political, economic, and cultural center.
E29798 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: San José | Statement: [UCCI, hasMember, San José]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San José
Context triple: [UCCI, hasMember, San José]
  • A. San José
    San José is a station on the Buenos Aires Underground, part of the city’s rapid transit network in Argentina.
  • B. San José
    San José is a lakeside town in Guatemala’s Petén region, known for its proximity to Mayan archaeological sites and its location on the shores of Lake Petén Itzá.
  • C. San José
    San José is a small coastal village in Spain’s Cabo de Gata-Níjar Natural Park, known for its picturesque beaches, whitewashed houses, and role as a gateway to the park’s protected landscapes.
  • D. San José
    San José is a major city in Northern California’s Silicon Valley, known as a hub for technology, innovation, and diverse communities.
  • E. San José
    San José is the largest city in Northern California’s Silicon Valley, known as a major technology and innovation hub.
  • 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: San José
Triple: [UCCI, hasMember, San José]
Generated description
San José is the capital and largest city of Costa Rica, known as the country’s political, economic, and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: San José
Target entity description: San José is the capital and largest city of Costa Rica, known as the country’s political, economic, and cultural center.
  • A. San José chosen
    San José is the capital and largest city of Costa Rica, known for its political, economic, and cultural significance in Central America.
  • B. San José
    San José is a lakeside town in Guatemala’s Petén region, known for its proximity to Mayan archaeological sites and its location on the shores of Lake Petén Itzá.
  • C. San José
    San José is the largest city in Northern California’s Silicon Valley, known as a major technology and innovation hub.
  • D. San José
    San José is a major city in Northern California’s Silicon Valley, known as a hub for technology, innovation, and diverse communities.
  • E. San José
    San José is a small municipality and town located in the Caldas Department of Colombia, known for its coffee-growing rural landscape in the Andean region.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e3c7b08190bf6448ead11ba916 completed April 20, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d36054588190918fbf7272a28a1a completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d440fcdc81908c26a8aed70ce7b7 completed May 14, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a05d4f48fdc8190ad1607287e8fe304 completed May 14, 2026, 1:58 p.m.
Created at: April 10, 2026, 12:04 p.m.