Triple

T4001660
Position Surface form Disambiguated ID Type / Status
Subject Kaboom Town! E89426 entity
Predicate organizer P123 FINISHED
Object Town of Addison E407208 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: Town of Addison | Statement: [Kaboom Town!, organizer, Town of Addison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Addison
Context triple: [Kaboom Town!, organizer, Town of Addison]
  • A. Town of Addison chosen
    The Town of Addison is a suburban community in the Dallas–Fort Worth area of Texas known for its vibrant dining, entertainment, and event scene.
  • B. Addison Township
    Addison Township is a local governmental township located in DuPage County, Illinois, within the Chicago metropolitan area.
  • C. Lisle Township
    Lisle Township is a local governmental township located in DuPage County, Illinois, encompassing suburban communities west of Chicago.
  • D. Abington Park
    Abington Park is a large historic public park in Northampton, England, known for its open green spaces, lakes, museum, and recreational facilities.
  • E. Village of Hinsdale
    The Village of Hinsdale is an affluent suburban community in DuPage and Cook counties in Illinois, known for its historic homes, highly rated schools, and proximity to Chicago.
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa4290a48190b9c8cffa012c4df1 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5562455a0819097fb6a566f2d387a completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:34 p.m.