Triple

T17671090
Position Surface form Disambiguated ID Type / Status
Subject Brighton Beach Avenue E440521 entity
Predicate hasLandmarkArea P20880 FINISHED
Object Little Odessa NE NERFINISHED

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 Odessa | Statement: [Brighton Beach Avenue, hasLandmarkArea, Little Odessa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Odessa
Context triple: [Brighton Beach Avenue, hasLandmarkArea, Little Odessa]
  • A. Little Odessa chosen
    Little Odessa is a 1994 crime drama film directed by James Gray that follows a hitman returning to his Russian-Jewish immigrant community in Brooklyn’s Brighton Beach.
  • B. Nova Odessa
    Nova Odessa is a municipality in the state of São Paulo, Brazil, known for its industrial activity and integration into the Campinas metropolitan region.
  • C. Village of Odessa
    The Village of Odessa is a small incorporated community located in Schuyler County in the Finger Lakes region of New York State.
  • D. Sovkino
    Sovkino was a Soviet state film production and distribution company active in the 1920s, instrumental in developing early Soviet cinema and promoting revolutionary propaganda films.
  • E. Odessa Stories
    Odessa Stories is a celebrated cycle of short stories by Isaac Babel that vividly portrays the colorful, often criminal underworld of early 20th-century Odessa’s Jewish community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f68a038819084828ff73bcf1fcc completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 9:59 a.m.