Triple

T5488165
Position Surface form Disambiguated ID Type / Status
Subject Blackstone Valley E123636 entity
Predicate contains P35 FINISHED
Object Worcester County E12044 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: Worcester County | Statement: [Blackstone Valley, contains, Worcester County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worcester County
Context triple: [Blackstone Valley, contains, Worcester County]
  • A. Worcester County, Massachusetts chosen
    Worcester County, Massachusetts is a large central Massachusetts county that includes the city of Worcester and serves as a key geographic and economic link between the Boston metropolitan area and western New England.
  • 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. Berkshire County
    Berkshire County is a rural, culturally rich county in western Massachusetts known for its scenic Berkshire Mountains, outdoor recreation, and vibrant arts institutions.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9264d014819097c83bb5c2bb8c39 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48aa12708190add69c5fd51d161d completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:10 p.m.