Triple

T9329785
Position Surface form Disambiguated ID Type / Status
Subject Olga San Juan E224486 entity
Predicate familyName P18 FINISHED
Object San Juan
San Juan is a common Spanish surname shared by various individuals of Hispanic heritage.
 E791270 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 Juan | Statement: [Olga San Juan, familyName, San Juan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Juan
Context triple: [Olga San Juan, familyName, San Juan]
  • A. San Juan
    San Juan is a suburban town in Trinidad and Tobago located just east of the capital, Port of Spain, known for its bustling commercial activity and residential communities.
  • B. San Juan
    San Juan is a highly urbanized city in Metro Manila, Philippines, known for its historical sites, dense residential and commercial areas, and role in the capital region’s urban core.
  • C. San Juan
    San Juan is a coastal municipality on Siquijor Island in the Philippines known for its beaches, dive spots, and laid-back tourist resorts.
  • D. San Juan
    San Juan is a neighborhood within the municipality of Telde on the island of Gran Canaria in Spain’s Canary Islands.
  • E. San Juan
    San Juan is a coastal municipality in the Philippine province of Batangas known for its beaches, dive spots, and heritage sites.
  • 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 Juan
Triple: [Olga San Juan, familyName, San Juan]
Generated description
San Juan is a common Spanish surname shared by various individuals of Hispanic heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Juan
Target entity description: San Juan is a common Spanish surname shared by various individuals of Hispanic heritage.
  • A. San Juan
    San Juan is a neighborhood within the municipality of Telde on the island of Gran Canaria in Spain’s Canary Islands.
  • B. San Juan
    San Juan is a coastal municipality in the Philippine province of Batangas known for its beaches, dive spots, and heritage sites.
  • C. San Juan
    San Juan is a coastal municipality on Siquijor Island in the Philippines known for its beaches, dive spots, and laid-back tourist resorts.
  • D. San Juan
    San Juan is an Argentine wine-producing region recognized for its significant Malbec production.
  • E. San Juan
    San Juan is the largest city and main cultural, economic, and tourism hub of Puerto Rico, known for its historic colonial architecture and vibrant coastal setting.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37acbc04819092a67d7f392c74cd completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7fca954819086f695be973b227e completed April 4, 2026, 8:12 a.m.
NEDg Description generation batch_69d0c8b6eac48190958910ab85250254 completed April 4, 2026, 8:15 a.m.
NED2 Entity disambiguation (via description) batch_69d0cb44ad9881909de7b81ae05a9a6e completed April 4, 2026, 8:26 a.m.
Created at: March 30, 2026, 7:39 p.m.