Triple

T14565440
Position Surface form Disambiguated ID Type / Status
Subject Fort Osage E341772 entity
Predicate locatedNear P294 FINISHED
Object Sibley, Missouri E68523 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: Sibley, Missouri | Statement: [Fort Osage, locatedNear, Sibley, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sibley, Missouri
Context triple: [Fort Osage, locatedNear, Sibley, Missouri]
  • A. Sibley, Missouri chosen
    Sibley, Missouri is a small village in western Missouri known for its proximity to the historic Fort Osage site along the Missouri River.
  • B. Norborne, Missouri
    Norborne, Missouri is a small rural city in Carroll County known for its agricultural community and annual Soybean Festival.
  • C. Osceola, Missouri
    Osceola, Missouri is a small historic city in western Missouri known for its role in the Civil War and its location near Truman Lake.
  • D. Bellamy, Missouri
    Bellamy, Missouri is a small unincorporated community located in rural Vernon County in the western part of the state.
  • E. Shelbina, Missouri
    Shelbina, Missouri is a small city in northeastern Missouri that serves as an important local hub for government, services, and commerce in Shelby County.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38c6350819091090ffd15772f6f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69feadfaddc88190bb1196ace0bfd4ff completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 1:23 a.m.