Triple

T13234937
Position Surface form Disambiguated ID Type / Status
Subject Sterling, Illinois E315118 entity
Predicate hasNearbyCity P350 FINISHED
Object Morrison, Illinois E525025 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: Morrison, Illinois | Statement: [Sterling, Illinois, hasNearbyCity, Morrison, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morrison, Illinois
Context triple: [Sterling, Illinois, hasNearbyCity, Morrison, Illinois]
  • A. Morrison, Illinois chosen
    Morrison, Illinois is a small city in Whiteside County that serves as the county seat and lies within northwestern Illinois.
  • B. Morris, Illinois
    Morris, Illinois is a small city in northeastern Illinois that serves as the administrative and commercial hub of Grundy County.
  • C. LaPlace, Illinois
    LaPlace, Illinois is a small rural village located in Piatt County in central Illinois.
  • D. Montgomery, Illinois
    Montgomery, Illinois is a suburban village in the Chicago metropolitan area spanning Kane and Kendall counties along the Fox River.
  • E. Milton, Illinois
    Milton, Illinois is a small rural village located in Pike County in western Illinois, known for its agricultural surroundings and close-knit community.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d36bdf8819099949b1e0e6902d3 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1330527481908d518093debc9ad1 completed May 9, 2026, 10:57 a.m.
Created at: April 9, 2026, 9:22 p.m.