Triple

T9185273
Position Surface form Disambiguated ID Type / Status
Subject Grandview Fire Department E220440 entity
Predicate serves P98 FINISHED
Object City of Grandview, Missouri E40014 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: City of Grandview, Missouri | Statement: [Grandview Fire Department, serves, City of Grandview, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Grandview, Missouri
Context triple: [Grandview Fire Department, serves, City of Grandview, Missouri]
  • A. Grandview, Missouri chosen
    Grandview, Missouri is a suburban city in the Kansas City metropolitan area known primarily as the childhood home of President Harry S. Truman.
  • B. Fairview, Missouri
    Fairview, Missouri is a small rural city in southwestern Missouri known for its agricultural surroundings and close-knit community.
  • C. Stark City, Missouri
    Stark City, Missouri is a small rural village located in southwestern Missouri within Newton County.
  • D. Platte City, Missouri
    Platte City, Missouri is a small city in Platte County that serves as a suburban community within the Kansas City metropolitan area.
  • E. Greenfield, Missouri
    Greenfield, Missouri is a small city in southwestern Missouri that serves as the administrative and commercial hub of Dade 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc318d5c081908c50b56e5783ea38 completed April 1, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065d336a081909c092230e4a46f4e completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:24 p.m.