Triple

T11638116
Position Surface form Disambiguated ID Type / Status
Subject Regional Transportation District E276578 entity
Predicate serves P98 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: [Regional Transportation District, serves, Littleton, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Littleton, Colorado
Context triple: [Regional Transportation District, 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 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. 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.
  • E. Central City, Colorado
    Central City, Colorado is a historic former gold mining town in the Rocky Mountains now known for its preserved 19th-century architecture and casino gaming.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25e90c08190b7fb73939a2be3d7 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69f739644ed48190896d7b2b6c3b5f8f completed May 3, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:39 p.m.