Triple

T1650271
Position Surface form Disambiguated ID Type / Status
Subject Wilshire Boulevard E35674 entity
Predicate passesThrough P225 FINISHED
Object Koreatown E3070 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: Koreatown | Statement: [Wilshire Boulevard, passesThrough, Koreatown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koreatown
Context triple: [Wilshire Boulevard, passesThrough, Koreatown]
  • A. Koreatown chosen
    Koreatown is a vibrant Manhattan neighborhood known for its dense concentration of Korean restaurants, shops, and cultural businesses centered around West 32nd Street near the Empire State Building.
  • B. Gangnam District
    Gangnam District is a wealthy, high-end commercial and residential area in Seoul, South Korea, known for its skyscrapers, luxury shopping, and vibrant nightlife.
  • C. Itaewon
    Itaewon is a vibrant multicultural district in Seoul known for its international cuisine, nightlife, and diverse expatriate community.
  • D. Jongno-gu, Seoul
    Jongno-gu, Seoul is a central district of South Korea’s capital city known as a historic, political, and cultural hub that hosts major government institutions and heritage sites.
  • E. Seoul
    Seoul is the capital and largest metropolis of South Korea, known as a major global center for technology, culture, and finance.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a66b58c819082d38ef1c805cf44 completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60a996508190bc227400cb7713ac completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:29 p.m.