Triple

T11025240
Position Surface form Disambiguated ID Type / Status
Subject Northside Dublin E260599 entity
Predicate hasCulturalArea P1968 FINISHED
Object Smithfield E886104 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: [Northside Dublin, hasCulturalArea, Smithfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smithfield
Context triple: [Northside Dublin, hasCulturalArea, Smithfield]
  • A. Smithfield
    Smithfield is a small hamlet or locality within the rural town of Amenia in Dutchess County, New York.
  • B. Smithfield
    Smithfield is a suburban town in northern Rhode Island known for its residential communities, local history, and the campus of Bryant University.
  • C. Smithfield
    Smithfield is a small town in South Africa’s Free State province, historically known as one of the country’s older frontier settlements.
  • D. Smithfield
    Smithfield is a small city in northern Utah known as a residential and agricultural community within the Logan metropolitan area.
  • E. Smithfield chosen
    Smithfield is a historic area on Dublin’s northside known for its large public square, former markets, and ongoing urban regeneration.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797bf78a48190a37b423812827d4e completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e37523f8548190ad40fa76660232a8 completed April 18, 2026, 12:12 p.m.
Created at: April 8, 2026, 9:25 p.m.