Triple

T829961
Position Surface form Disambiguated ID Type / Status
Subject Cabrillo Marine Aquarium E17941 entity
Predicate neighborhood P988 FINISHED
Object San Pedro
San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
 E124932 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 Pedro | Statement: [Cabrillo Marine Aquarium, neighborhood, San Pedro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Pedro
Context triple: [Cabrillo Marine Aquarium, neighborhood, San Pedro]
  • A. San Pedro Mártir
    San Pedro Mártir is a neighborhood within Mexico City’s Tlalpan borough, known for its semi-rural character and location along the southern edge of the metropolis.
  • B. Rosarito
    Rosarito is a coastal resort city in northern Baja California, Mexico, known for its beaches, tourism, and proximity to the U.S. border.
  • C. San Fernando
    San Fernando is a major industrial and commercial city located in the southern part of Trinidad, known for its energy sector and bustling urban center.
  • D. San Fernando
    San Fernando is a principal urban center and agricultural hub in central Chile’s O’Higgins Region.
  • E. San Fernando
    San Fernando is a Philippine city on the island of Luzon known as a regional commercial and administrative center.
  • 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 Pedro
Triple: [Cabrillo Marine Aquarium, neighborhood, San Pedro]
Generated description
San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Pedro
Target entity description: San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
  • A. San Pedro Mártir
    San Pedro Mártir is a neighborhood within Mexico City’s Tlalpan borough, known for its semi-rural character and location along the southern edge of the metropolis.
  • B. Rosarito
    Rosarito is a coastal resort city in northern Baja California, Mexico, known for its beaches, tourism, and proximity to the U.S. border.
  • C. San Fernando
    San Fernando is a major industrial and commercial city located in the southern part of Trinidad, known for its energy sector and bustling urban center.
  • D. San Fernando
    San Fernando is a principal urban center and agricultural hub in central Chile’s O’Higgins Region.
  • E. San Fernando
    San Fernando is a Philippine city on the island of Luzon known as a regional commercial and administrative center.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abb384988190949d2df65662f76d completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac427fffe88190b28bd1b660bb90fe completed March 7, 2026, 3:21 p.m.
NEDg Description generation batch_69ac431f9ebc81908bcc9b259b2e47a8 completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43a2a294819095cf58c39118389f completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:38 p.m.