Triple

T12066101
Position Surface form Disambiguated ID Type / Status
Subject Gurabo, Puerto Rico E287298 entity
Predicate isPartOfUrbanArea P294 FINISHED
Object Greater San Juan E916722 NE FINISHED

How this triple was built (2 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: Greater San Juan | Statement: [Gurabo, Puerto Rico, isPartOfUrbanArea, Greater San Juan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater San Juan
Context triple: [Gurabo, Puerto Rico, isPartOfUrbanArea, Greater San Juan]
  • A. San Juan area chosen
    The San Juan area is the densely populated metropolitan region surrounding Puerto Rico’s capital city, serving as the island’s primary hub for government, commerce, and transportation.
  • B. San Juan
    San Juan is a neighborhood within the municipality of Telde on the island of Gran Canaria in Spain’s Canary Islands.
  • C. San Juan
    San Juan is the capital and largest city of Argentina’s San Juan Province, known for its wine production, seismic activity, and Andean setting.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904423dc08190a47194422255c62e completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f658bb38819097547d392fcc5405 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.