Triple

T16334644
Position Surface form Disambiguated ID Type / Status
Subject BART Orange Line E396644 entity
Predicate servesCity P82 FINISHED
Object San José
San José is the largest city in Northern California’s Silicon Valley, known as a major technology and innovation hub.
 E1206455 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: [BART Orange Line, servesCity, San José]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San José
Context triple: [BART Orange Line, servesCity, San José]
  • A. San José
    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 small municipality and town located in the Caldas Department of Colombia, known for its coffee-growing rural landscape in the Andean region.
  • C. San José
    San José is a station on the Buenos Aires Underground, part of the city’s rapid transit network in Argentina.
  • D. San José
    San José is a professional football club from Oruro, Bolivia, known for competing in the country's top-tier league and having a passionate local fan base.
  • E. 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.
  • 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: [BART Orange Line, servesCity, San José]
Generated description
San José is the largest city in Northern California’s Silicon Valley, known as a major technology and innovation hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San José
Target entity description: San José is the largest city in Northern California’s Silicon Valley, known as a major technology and innovation hub.
  • A. San José
    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 small municipality and town located in the Caldas Department of Colombia, known for its coffee-growing rural landscape in the Andean region.
  • C. San José
    San José is a station on the Buenos Aires Underground, part of the city’s rapid transit network in Argentina.
  • D. 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.
  • E. San José
    San José is a professional football club from Oruro, Bolivia, known for competing in the country's top-tier league and having a passionate local fan base.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e29db88190936a07deb5b1c1e3 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025f4f8708190ba1a08860e962c66 completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a00265659488190b6e2b89cdaab5f8e completed May 10, 2026, 6:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0026ba18248190a735ba1142cc306f completed May 10, 2026, 6:33 a.m.
Created at: April 10, 2026, 5:07 a.m.