Triple

T1124247
Position Surface form Disambiguated ID Type / Status
Subject Truman family E24682 entity
Predicate associatedWithCity P1481 FINISHED
Object Lamar, Missouri E177 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: Lamar, Missouri | Statement: [Truman family, associatedWithCity, Lamar, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamar, Missouri
Context triple: [Truman family, associatedWithCity, Lamar, Missouri]
  • A. 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.
  • B. Levasy, Missouri
    Levasy, Missouri is a small rural city located in eastern Jackson County within the Kansas City metropolitan area.
  • C. Lamar, Missouri, United States chosen
    Lamar, Missouri, United States, is a small city in Barton County best known as the birthplace of U.S. President Harry S. Truman.
  • D. Buckner, Missouri
    Buckner, Missouri is a small city located in eastern Jackson County within the Kansas City metropolitan area.
  • E. Hannibal, Missouri
    Hannibal, Missouri is a historic Mississippi River town best known as Mark Twain’s boyhood home and the inspiration for the settings of "The Adventures of Tom Sawyer" and "Adventures of Huckleberry Finn."
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbd92a8c8190a16e55f3f739010f completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad607966748190a5661d47021bf526 completed March 8, 2026, 11:41 a.m.
Created at: March 1, 2026, 7:44 p.m.