Triple

T1449903
Position Surface form Disambiguated ID Type / Status
Subject Gunnison County, Colorado E31265 entity
Predicate contains P35 FINISHED
Object Town of Marble, Colorado E20188 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: Town of Marble, Colorado | Statement: [Gunnison County, Colorado, contains, Town of Marble, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Marble, Colorado
Context triple: [Gunnison County, Colorado, contains, Town of Marble, Colorado]
  • A. Marble, Colorado chosen
    Marble, Colorado is a small mountain town in Gunnison County known for its historic marble quarries that supplied stone for prominent American monuments and buildings.
  • B. Crystal, Colorado
    Crystal, Colorado is a historic ghost town in the Rocky Mountains known for its scenic alpine setting and the iconic Crystal Mill.
  • C. Blende, Colorado
    Blende, Colorado is a small unincorporated community and census-designated place located near the city of Pueblo in southern Colorado.
  • D. Vineland, Colorado
    Vineland, Colorado is a small unincorporated community and agricultural area located in Pueblo County in southern Colorado.
  • E. Lamar, Colorado
    Lamar, Colorado is a small city in southeastern Colorado known as an agricultural and transportation hub on the High Plains.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c55d923c8190957756f834f94462 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08c4c940819091d15c4d2ffa6b1c completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 8 p.m.