Triple

T1644002
Position Surface form Disambiguated ID Type / Status
Subject Joplin, Missouri metropolitan area E35536 entity
Predicate containsCommunity P8617 FINISHED
Object Oronogo, Missouri E152151 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: Oronogo, Missouri | Statement: [Joplin, Missouri metropolitan area, containsCommunity, Oronogo, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oronogo, Missouri
Context triple: [Joplin, Missouri metropolitan area, containsCommunity, Oronogo, Missouri]
  • A. Oronogo, Missouri chosen
    Oronogo, Missouri is a small city in southwestern Missouri that forms part of the Joplin metropolitan area.
  • B. Oakview, Missouri
    Oakview, Missouri is a small suburban village in Clay County that forms part of the Kansas City metropolitan area.
  • C. Gladstone, Missouri
    Gladstone, Missouri is a suburban city in the Kansas City metropolitan area known for its residential neighborhoods and community-oriented services.
  • D. Levasy, Missouri
    Levasy, Missouri is a small rural city located in eastern Jackson County within the Kansas City metropolitan area.
  • E. 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.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622e9b08819094960b2329c6e7e6 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60a26350819087e7a87b52561143 completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:28 p.m.