Triple

T1708620
Position Surface form Disambiguated ID Type / Status
Subject San Diego E36927 entity
Predicate nickname P55 FINISHED
Object America’s Finest City E46893 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: America’s Finest City | Statement: [San Diego, nickname, America’s Finest City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: America’s Finest City
Context triple: [San Diego, nickname, America’s Finest City]
  • A. America’s Finest City chosen
    America’s Finest City is a popular nickname for San Diego, highlighting its reputation for pleasant weather, beautiful beaches, and high quality of life.
  • B. Chocolate City
    Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
  • C. The City Different
    The City Different is the nickname for Santa Fe, New Mexico, highlighting its distinctive blend of Pueblo-style architecture, vibrant arts scene, and rich multicultural heritage.
  • D. The People’s City
    The People’s City is the official motto of Jefferson City, Missouri, emphasizing its identity as a community-focused and citizen-centered capital.
  • E. Mile Square City
    Mile Square City is the popular nickname for Hoboken, New Jersey, referencing its compact size of roughly one square mile.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63118618819085700fa84e362d60 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ad849648190b2bb0e2a50cd6c75 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.