Triple

T17900865
Position Surface form Disambiguated ID Type / Status
Subject Cumberland County, Illinois E447571 entity
Predicate hasSettlement P1068 FINISHED
Object Montrose, Illinois NE NERFINISHED

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: Montrose, Illinois | Statement: [Cumberland County, Illinois, hasSettlement, Montrose, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montrose, Illinois
Context triple: [Cumberland County, Illinois, hasSettlement, Montrose, Illinois]
  • A. Montrose, Illinois chosen
    Montrose, Illinois is a small rural village located in Cumberland County in the central part of the state.
  • B. Morris, Illinois
    Morris, Illinois is a small city in northeastern Illinois that serves as the administrative and commercial hub of Grundy County.
  • C. Montgomery, Illinois
    Montgomery, Illinois is a suburban village in the Chicago metropolitan area spanning Kane and Kendall counties along the Fox River.
  • D. Morrison, Illinois
    Morrison, Illinois is a small city in Whiteside County that serves as the county seat and lies within northwestern Illinois.
  • E. Monmouth, Illinois
    Monmouth, Illinois is a small city in western Illinois known as the home of Monmouth College and for its agricultural and manufacturing-based local economy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d8321bc8190a3f679d96323cbbb completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:19 a.m.