Triple

T19794792
Position Surface form Disambiguated ID Type / Status
Subject Cape Girardeau County E475511 entity
Predicate hasEconomicCenter P1027 FINISHED
Object Cape Girardeau 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: Cape Girardeau | Statement: [Cape Girardeau County, hasEconomicCenter, Cape Girardeau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cape Girardeau
Context triple: [Cape Girardeau County, hasEconomicCenter, Cape Girardeau]
  • A. Cape Girardeau, Missouri chosen
    Cape Girardeau, Missouri is a city along the Mississippi River in southeastern Missouri known as a regional hub for education, healthcare, and commerce.
  • B. Poplar Bluff
    Poplar Bluff is a small city in southeastern Missouri known as a regional hub for commerce and services in the surrounding rural area.
  • C. Laclede, Missouri
    Laclede, Missouri is a small rural community in Linn County in north-central Missouri.
  • D. St. Petersburg, Missouri
    St. Petersburg, Missouri is the fictional Mississippi River town in Mark Twain’s novels, notably "The Adventures of Tom Sawyer," serving as the home of characters like Sid Sawyer and Tom Sawyer.
  • E. Washington, Missouri
    Washington, Missouri is a small city in eastern Missouri along the Missouri River, known for its historic downtown, German heritage, and role as a regional hub in the state's wine country.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c5a7d48190b2a384f768d13750 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.