Triple

T10316896
Position Surface form Disambiguated ID Type / Status
Subject Northern Kansas E242039 entity
Predicate containsCity P294 FINISHED
Object Junction City, Kansas E168597 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: Junction City, Kansas | Statement: [Northern Kansas, containsCity, Junction City, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junction City, Kansas
Context triple: [Northern Kansas, containsCity, Junction City, Kansas]
  • A. Junction City, Kansas chosen
    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.
  • B. Junction City
    Junction City is a small rural town located in Talbot County, Georgia, in the United States.
  • C. Newton, Kansas
    Newton, Kansas is a small city in south-central Kansas known historically as a railroad hub and gateway to the American West.
  • D. Columbus, Kansas
    Columbus, Kansas is a small city in southeastern Kansas known historically as a regional center for agriculture and mining.
  • E. Scott City, Kansas
    Scott City, Kansas is a small rural city in western Kansas that serves as the commercial and agricultural hub of Scott 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d35cf8cc819084dd472f22d604be completed April 7, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23aeb6f9c8190a986af35bcf353f7 completed April 17, 2026, 1:51 p.m.
Created at: April 6, 2026, 11:49 a.m.