Triple

T2982183
Position Surface form Disambiguated ID Type / Status
Subject Bowling for Columbine E80536 entity
Predicate filmingLocation P40 FINISHED
Object Littleton, Colorado E231909 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: Littleton, Colorado | Statement: [Bowling for Columbine, filmingLocation, Littleton, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Littleton, Colorado
Context triple: [Bowling for Columbine, filmingLocation, Littleton, Colorado]
  • A. Littleton, Colorado chosen
    Littleton, Colorado is a suburban city in the Denver metropolitan area known for its historic downtown, residential neighborhoods, and proximity to the South Platte River.
  • B. Littleton
    Littleton is a suburban town in Middlesex County, Massachusetts, located northwest of Boston.
  • C. Littleton
    Littleton is a village in Surrey, England, known for its proximity to Shepperton and its largely residential, semi-rural character.
  • D. Englewood, Colorado
    Englewood, Colorado is a suburban city in the Denver metropolitan area known for its mix of residential neighborhoods, commercial centers, and corporate offices.
  • E. Lakewood, Colorado
    Lakewood, Colorado is a suburban city just west of Denver, known for its residential communities, retail centers, and proximity to the Rocky Mountains.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99a1ed44819085ae6d39943db1d9 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b488165eb48190ae5b080862919caf completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 2:58 p.m.