Triple

T7854634
Position Surface form Disambiguated ID Type / Status
Subject Jefferson City metropolitan area E182142 entity
Predicate hasSettlement P1068 FINISHED
Object Taos, Missouri E562735 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: Taos, Missouri | Statement: [Jefferson City metropolitan area, hasSettlement, Taos, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taos, Missouri
Context triple: [Jefferson City metropolitan area, hasSettlement, Taos, Missouri]
  • A. Taos, Missouri chosen
    Taos, Missouri is a small incorporated community in central Missouri that forms part of the Jefferson City metropolitan area.
  • B. Taylor, Missouri
    Taylor, Missouri is a small unincorporated community in northeastern Missouri that lies within Marion County near the city of Hannibal.
  • C. Montezuma, Missouri
    Montezuma, Missouri is a small unincorporated rural community located within Vernon County in the U.S. state of Missouri.
  • 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. 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.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a72cfdc8190a3186c4c2894f571 completed March 31, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf3828fc81908a118420a6b0a736 completed March 31, 2026, 2:50 p.m.
Created at: March 30, 2026, 4:51 p.m.