Triple

T9212461
Position Surface form Disambiguated ID Type / Status
Subject Cedar Springs, Missouri E221156 entity
Predicate hasStateAbbreviation P2461 FINISHED
Object MO E463440 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: MO | Statement: [Cedar Springs, Missouri, hasStateAbbreviation, MO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MO
Context triple: [Cedar Springs, Missouri, hasStateAbbreviation, MO]
  • A. MO
    MO is the two-letter ISO 3166 country code assigned to the Macao Special Administrative Region of China.
  • B. MO chosen
    MO is the U.S. Postal Service abbreviation for the state of Missouri.
  • C. MN
    MN is the vehicle registration code used on license plates for vehicles registered in Douglas and the rest of the Isle of Man.
  • D. California, Missouri
    California, Missouri is a small city in Moniteau County known for its rural Midwestern character and role as a local hub in central Missouri.
  • E. MA
    MA is the vehicle registration code used on license plates for the German city of Mannheim.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda05406081909893bec3a092d3ce completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0660839f88190afdfb8bc2d710fc3 completed April 4, 2026, 1:14 a.m.
Created at: March 30, 2026, 7:27 p.m.