Triple

T18494413
Position Surface form Disambiguated ID Type / Status
Subject John "Jack" Young E451902 entity
Predicate nameSourceFor P36337 FINISHED
Object Youngsville NE NERFINISHED

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: Youngsville | Statement: [John "Jack" Young, nameSourceFor, Youngsville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Youngsville
Context triple: [John "Jack" Young, nameSourceFor, Youngsville]
  • A. Youngsville
    Youngsville is a small town in Franklin County, North Carolina, located just north of the Raleigh–Durham metropolitan area.
  • B. Priceville
    Priceville is a small unincorporated community located in Hart County, Kentucky, United States.
  • C. Temperanceville
    Temperanceville is a small community within the Township of King in Ontario, Canada, known for its rural character and historic roots.
  • D. Hattieville
    Hattieville is a village in Belize known for housing the country’s main prison and serving as a residential community near Belize City.
  • E. Snowville
    Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532bf206c8190a146cd1abd752152 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:35 a.m.