Triple

T4798195
Position Surface form Disambiguated ID Type / Status
Subject Lower Counties on the Delaware E106765 entity
Predicate hasPart P35 FINISHED
Object Kent County E185405 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: Kent County | Statement: [Lower Counties on the Delaware, hasPart, Kent County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kent County
Context triple: [Lower Counties on the Delaware, hasPart, Kent County]
  • A. Kent County chosen
    Kent County is a historic county in central Delaware, known for its colonial-era settlements and role in the early development of the state.
  • B. Kent County
    Kent County is a sparsely populated rural county in West Texas known for its ranching landscape and small communities.
  • C. Kent County
    Kent County is a county in western Michigan that includes the city of Grand Rapids as its county seat and largest urban center.
  • D. Delaware County
    Delaware County is a suburban county in southeastern Pennsylvania, adjacent to Philadelphia, known for its mix of residential communities, educational institutions, and regional transportation links.
  • E. Delaware County
    Delaware County is a largely rural county in south-central New York State known for its mountainous terrain within the Catskill region and small towns.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6632708c8190b627d99363ab062c completed March 20, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43f8d9548190857910be4ffc2711 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:22 p.m.