Triple

T20185446
Position Surface form Disambiguated ID Type / Status
Subject Monte Vista Municipal Airport E492843 entity
Predicate operator P179 FINISHED
Object City of Monte Vista NE NERFINISHED

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: City of Monte Vista | Statement: [Monte Vista Municipal Airport, operator, City of Monte Vista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Monte Vista
Context triple: [Monte Vista Municipal Airport, operator, City of Monte Vista]
  • A. City of Monte Vista chosen
    The City of Monte Vista is a small municipal government in Colorado that administers local services and infrastructure for its community in the San Luis Valley.
  • B. City of La Mesa
    The City of La Mesa is the municipal government responsible for administering public services, local policies, and community programs for the city of La Mesa, California.
  • C. Valley Vista
    "Valley Vista" is a track by the musical duo Wendy & Lisa featured on their album "Eroica."
  • D. Crestmont
    Crestmont is a community that succeeded the former locality of Gracemont, representing its modern continuation or replacement.
  • E. Crestmont
    Crestmont is a residential community and neighborhood located within Abington Township in Montgomery County, Pennsylvania.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f2c03c819096336462f59dba91 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.