Triple

T11696128
Position Surface form Disambiguated ID Type / Status
Subject Madison County E277998 entity
Predicate hasTown P847 FINISHED
Object Smithfield E60242 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: Smithfield | Statement: [Madison County, hasTown, Smithfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smithfield
Context triple: [Madison County, hasTown, Smithfield]
  • A. Smithfield
    Smithfield is a small town in South Africa’s Free State province, historically known as one of the country’s older frontier settlements.
  • B. Smithfield chosen
    Smithfield is a small hamlet or locality within the rural town of Amenia in Dutchess County, New York.
  • C. Smithfield
    Smithfield is a small town in central North Carolina that serves as the administrative and commercial hub of Johnston County.
  • D. Smithfield
    Smithfield is a suburban town in northern Rhode Island known for its residential communities, local history, and the campus of Bryant University.
  • E. Smithfield
    Smithfield is a small city in northern Utah known as a residential and agricultural community within the Logan metropolitan area.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47cef60819088b7cc3a3a711e4c completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1471cba88190a7abdcbf4f579ea9 completed April 27, 2026, 7:46 a.m.
Created at: April 8, 2026, 9:40 p.m.