Triple

T4789192
Position Surface form Disambiguated ID Type / Status
Subject Montgomery Peak E106560 entity
Predicate county P75 FINISHED
Object Mono County E26068 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: Mono County | Statement: [Montgomery Peak, county, Mono County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mono County
Context triple: [Montgomery Peak, county, Mono County]
  • A. Mono County chosen
    Mono County is a sparsely populated county in eastern California known for its dramatic Sierra Nevada landscapes, including parts of Yosemite National Park and Mono Lake.
  • B. Morgan County
    Morgan County is a rural county in northeastern Colorado known for its agricultural economy and small communities centered around the city of Fort Morgan.
  • C. Morgan County
    Morgan County is a county in northern Alabama known for its seat in Decatur and its role in the Huntsville-Decatur metropolitan area.
  • D. Morgan County
    Morgan County is a rural county in northern Utah known for its mountainous terrain, outdoor recreation, and small-town communities northeast of Salt Lake City.
  • E. Floyd County
    Floyd County is a rural county in the U.S. state of Texas, located in the agricultural region of the Texas Panhandle.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65db847081908f5456724a2bdc65 completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d96f7e88190be4ba5c7ceb07608 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:22 p.m.