Triple

T2428636
Position Surface form Disambiguated ID Type / Status
Subject City of Lamar E53589 entity
Predicate regionServed P82 FINISHED
Object Lamar, Colorado E112096 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: Lamar, Colorado | Statement: [City of Lamar, regionServed, Lamar, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamar, Colorado
Context triple: [City of Lamar, regionServed, Lamar, Colorado]
  • A. Lamar, Colorado chosen
    Lamar, Colorado is a small city in southeastern Colorado known as an agricultural and transportation hub on the High Plains.
  • B. Morrison, Colorado
    Morrison, Colorado is a small historic town in Jefferson County best known as the gateway to Red Rocks Park and Amphitheatre and for its nearby dinosaur fossil sites.
  • C. Alamosa, Colorado
    Alamosa, Colorado is a small city in the San Luis Valley known as a regional hub for southern Colorado and a gateway to Great Sand Dunes National Park.
  • D. Cortez, Colorado
    Cortez, Colorado is a small city in southwestern Colorado known as a gateway to Mesa Verde National Park and the Four Corners region.
  • E. Blende, Colorado
    Blende, Colorado is a small unincorporated community and census-designated place located near the city of Pueblo in southern Colorado.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99e1b548190aca9a0ba72a9b0f7 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69b08623c8188190b48615107b653b60 completed March 10, 2026, 8:59 p.m.
Created at: March 6, 2026, 9:42 p.m.