Triple

T5635506
Position Surface form Disambiguated ID Type / Status
Subject Western Missouri E147937 entity
Predicate contains P35 FINISHED
Object Gladstone, Missouri E73268 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: Gladstone, Missouri | Statement: [Western Missouri, contains, Gladstone, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gladstone, Missouri
Context triple: [Western Missouri, contains, Gladstone, Missouri]
  • A. Gladstone, Missouri chosen
    Gladstone, Missouri is a suburban city in the Kansas City metropolitan area known for its residential neighborhoods and community-oriented services.
  • B. Rinehart, Missouri
    Rinehart, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
  • C. Ellis, Missouri
    Ellis, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
  • D. Hopkins, Missouri
    Hopkins, Missouri is a small rural city located in Nodaway County in the northwest region of the state near the Iowa border.
  • E. Riverside, Missouri
    Riverside, Missouri is a small city in Platte County near Kansas City, known for its riverfront location along the Missouri River and its mix of residential areas, industry, and gaming attractions.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0226286208190b6ccf036cc09fe82 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16e69e9188190a4dd94c34657a74f completed March 23, 2026, 4:46 p.m.
Created at: March 22, 2026, 3:41 p.m.