Triple

T20813245
Position Surface form Disambiguated ID Type / Status
Subject Littleton Public Schools E512366 entity
Predicate serves P98 FINISHED
Object Littleton, Colorado 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: Littleton, Colorado | Statement: [Littleton Public Schools, serves, Littleton, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Littleton, Colorado
Context triple: [Littleton Public Schools, serves, 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 village in Surrey, England, known for its proximity to Shepperton and its largely residential, semi-rural character.
  • C. Littleton
    Littleton is a masculine given name of English origin, historically associated with several American politicians and public figures.
  • D. Littleton
    Littleton is a suburban town in Middlesex County, Massachusetts, located northwest of Boston.
  • E. Westminster, Colorado
    Westminster, Colorado is a suburban city in the Denver metropolitan area known for its residential communities, open spaces, and proximity to both Denver and Boulder.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d415688190b66adc44d4df9bbb completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.