Triple

T4595320
Position Surface form Disambiguated ID Type / Status
Subject Skid Row E100188 entity
Predicate adjacentTo P224 FINISHED
Object Little Tokyo E77215 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: Little Tokyo | Statement: [Skid Row, adjacentTo, Little Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Tokyo
Context triple: [Skid Row, adjacentTo, Little Tokyo]
  • A. Little Tokyo, Los Angeles chosen
    Little Tokyo, Los Angeles is a historic downtown neighborhood that serves as one of the largest and most significant Japanese American cultural and commercial centers in the United States.
  • B. Kobe Chinatown
    Kobe Chinatown is a compact, bustling Chinese district in central Kobe, Japan, known for its vibrant streets, food stalls, and cultural festivals.
  • C. Japantown, San Francisco
    Japantown, San Francisco is a historic Japanese-American neighborhood known for its cultural festivals, shops, restaurants, and the Japan Center complex.
  • D. Roppongi
    Roppongi is a central Tokyo district famous for its vibrant nightlife, international community, and major art and entertainment complexes.
  • E. Shin-Okubo Koreatown
    Shin-Okubo Koreatown is a vibrant Korean cultural and commercial district in Tokyo known for its K-pop shops, Korean restaurants, and beauty stores.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd593f25888190a4f219e4da494764 completed March 20, 2026, 2:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa4552148190be200be028ef3fdd completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:11 p.m.