Triple

T13040016
Position Surface form Disambiguated ID Type / Status
Subject Front Range, Colorado E327167 entity
Predicate containsCity P294 FINISHED
Object Loveland E264083 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: Loveland | Statement: [Front Range, Colorado, containsCity, Loveland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loveland
Context triple: [Front Range, Colorado, containsCity, Loveland]
  • A. Loveland
    Loveland is a city in northern Colorado known for its art community, sculpture parks, and proximity to the Rocky Mountains.
  • B. Loveland, Colorado chosen
    Loveland, Colorado is a city in northern Colorado known for its art community, Valentine re-mailing tradition, and proximity to the Rocky Mountains.
  • C. Holladay
    Holladay is a suburban city in the Salt Lake City metropolitan area in northern Utah, known for its residential neighborhoods and proximity to the Wasatch Mountains.
  • D. Milford
    Milford is a small town located within Otsego County in the central region of New York State.
  • E. Milford
    Milford is a small historic borough in northeastern Pennsylvania known for its scenic Delaware River setting and preserved 19th-century architecture.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd2f6a481909fdd418e7ad3cc22 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:55 p.m.