Triple

T4940211
Position Surface form Disambiguated ID Type / Status
Subject Carbondale, Illinois E110909 entity
Predicate nearbyCity P350 FINISHED
Object Marion, Illinois E527761 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: Marion, Illinois | Statement: [Carbondale, Illinois, nearbyCity, Marion, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marion, Illinois
Context triple: [Carbondale, Illinois, nearbyCity, Marion, Illinois]
  • A. Marion, Illinois chosen
    Marion, Illinois is a small city in southern Illinois known as a regional hub for commerce, healthcare, and transportation in the area.
  • B. Montgomery, Illinois
    Montgomery, Illinois is a suburban village in the Chicago metropolitan area spanning Kane and Kendall counties along the Fox River.
  • C. Roanoke, Illinois
    Roanoke, Illinois is a small village in Woodford County that forms part of the broader Peoria region in central Illinois.
  • D. Morrison, Illinois
    Morrison, Illinois is a small city in Whiteside County that serves as the county seat and lies within northwestern Illinois.
  • E. Elwood, Illinois
    Elwood, Illinois is a small village in northeastern Illinois known for its rural character and proximity to major transportation and logistics hubs.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd708a3dcc81908b6628864fe0db0a completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3777eac81908880498eaa6c1046 completed March 27, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:31 p.m.