Triple

T6523714
Position Surface form Disambiguated ID Type / Status
Subject Thamesville E151248 entity
Predicate isPartOfRegion P9956 FINISHED
Object Kent County historical region E552992 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 historical region | Statement: [Thamesville, isPartOfRegion, Kent County historical region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kent County historical region
Context triple: [Thamesville, isPartOfRegion, Kent County historical region]
  • A. Kent county chosen
    Kent county is a historic county in southeastern England known for its rural landscapes, coastal towns, and proximity to London and the English Channel.
  • B. 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.
  • C. Kent County
    Kent County is a historic county in central Delaware, known for its colonial-era settlements and role in the early development of the state.
  • D. Kent County
    Kent County is a sparsely populated rural county in West Texas known for its ranching landscape and small communities.
  • E. Kent County, Maryland
    Kent County, Maryland is a rural county on Maryland’s Eastern Shore along the Chesapeake Bay, known for its historic waterfront towns and agricultural landscapes.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad970afc81909d3231203eacf413 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb74dfac81908eb44811869450ae completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:45 p.m.