Triple

T17967027
Position Surface form Disambiguated ID Type / Status
Subject Richland County, Illinois E449236 entity
Predicate hasCountySeat P383 FINISHED
Object City of Olney E127998 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: City of Olney | Statement: [Richland County, Illinois, hasCountySeat, City of Olney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Olney
Context triple: [Richland County, Illinois, hasCountySeat, City of Olney]
  • A. Olney Manor Park
    Olney Manor Park is a public recreational park in Olney, Maryland, featuring sports facilities, open green spaces, and community amenities for local residents.
  • B. Olney
    Olney is a residential neighborhood in North Philadelphia known for its diverse population and urban character.
  • C. Olney chosen
    Olney is a historic market town in southeast England, known for its traditional pancake race and association with the poet William Cowper.
  • D. Olney
    Olney is an English-origin surname borne by various notable individuals, including figures in law, politics, and the arts.
  • E. Olneyville
    Olneyville is a historically industrial, working-class neighborhood in the west side of Providence, Rhode Island, known for its diverse population and ongoing urban revitalization.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b13935908190b5269a84a3df2460 completed April 19, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0330120d1881908801112f9f400cd0 completed May 12, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:22 a.m.