Triple

T21157279
Position Surface form Disambiguated ID Type / Status
Subject Consulate-General of Japan in Chicago E521344 entity
Predicate servesRegion P82 FINISHED
Object Missouri 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: Missouri | Statement: [Consulate-General of Japan in Chicago, servesRegion, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Missouri
Context triple: [Consulate-General of Japan in Chicago, servesRegion, Missouri]
  • A. Missouri chosen
    Missouri is a U.S. state in the Midwest known for its major cities like St. Louis and Kansas City, its role as a historic gateway to the American West, and its diverse mix of agricultural and industrial economies.
  • B. Missori
    Missori is an underground station on Milan Metro’s Line 3 serving the central area of Milan, Italy.
  • C. Missouri State
    Missouri State is the athletic program representing Missouri State University in NCAA Division I sports, competing primarily in the Missouri Valley Conference.
  • D. Mont
    Mont is a family surname associated with the character Michael Mont.
  • E. Mont
    Mont is a small village in the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252c6db08190bcdffc3f2cfc6138 completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.