Triple

T9941434
Position Surface form Disambiguated ID Type / Status
Subject Scott County, Kansas E194091 entity
Predicate largestCity P235 FINISHED
Object Scott City, Kansas E849735 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: Scott City, Kansas | Statement: [Scott County, Kansas, largestCity, Scott City, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott City, Kansas
Context triple: [Scott County, Kansas, largestCity, Scott City, Kansas]
  • A. Scott City, Kansas chosen
    Scott City, Kansas is a small rural city in western Kansas that serves as the commercial and agricultural hub of Scott County.
  • B. Frankfort, Kansas
    Frankfort, Kansas is a small rural city in Marshall County known for its agricultural community and location in northeastern Kansas.
  • C. Junction City, Kansas
    Junction City, Kansas is a small central Kansas city near Fort Riley, historically significant as a regional railroad hub and gateway between the military post and the surrounding Great Plains.
  • D. White City, Kansas
    White City, Kansas is a small rural town in Morris County that forms part of the Manhattan, Kansas metropolitan area.
  • E. Louisville, Kansas
    Louisville, Kansas is a small rural community in Pottawatomie County that forms part of the Manhattan, Kansas region.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb610905c81909d669265c92021a5 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6a79eb5c08190ae75797556bc0943 completed April 8, 2026, 7:08 p.m.
Created at: March 30, 2026, 8:44 p.m.