Triple

T21600647
Position Surface form Disambiguated ID Type / Status
Subject Shelbina school districts E533029 entity
Predicate locatedIn P40 FINISHED
Object Shelbina, 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: Shelbina, Missouri | Statement: [Shelbina school districts, locatedIn, Shelbina, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shelbina, Missouri
Context triple: [Shelbina school districts, locatedIn, Shelbina, Missouri]
  • A. Shelbina, Missouri chosen
    Shelbina, Missouri is a small city in northeastern Missouri that serves as an important local hub for government, services, and commerce in Shelby County.
  • B. Sheldon, Missouri
    Sheldon, Missouri is a small rural city located in southwestern Missouri within Vernon County.
  • C. Estill, Missouri
    Estill, Missouri is a small unincorporated community located in Howard County in the central part of the state.
  • D. Sibley, Missouri
    Sibley, Missouri is a small village in western Missouri known for its proximity to the historic Fort Osage site along the Missouri River.
  • E. Shawnee, Missouri
    Shawnee, Missouri is a small unincorporated rural community located in Stoddard County in southeastern Missouri.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e12fdc8190ab6125ea8d294717 completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:32 p.m.