Triple

T18980526
Position Surface form Disambiguated ID Type / Status
Subject Redland E464409 entity
Predicate hasNearbyArea P4647 FINISHED
Object Montpelier 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: Montpelier | Statement: [Redland, hasNearbyArea, Montpelier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montpelier
Context triple: [Redland, hasNearbyArea, Montpelier]
  • A. Montpelier chosen
    Montpelier is a residential inner-city area of Bristol, England, known for its diverse community, distinctive Victorian and Georgian architecture, and vibrant arts and music scene.
  • B. Montpelier
    Montpelier is the historic Virginia estate of James Madison, the fourth president of the United States and a key architect of the U.S. Constitution.
  • C. Montpelier
    Montpelier is a small unincorporated community in Muscatine County, Iowa, located along the Mississippi River.
  • D. Montpelier, Vermont
    Montpelier, Vermont is the small, historic state capital of Vermont, known for its New England charm and distinctive gold-domed statehouse.
  • E. Augusta
    Augusta is the given first name of Ada Lovelace, the 19th-century mathematician often regarded as the world's first computer programmer.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65c11808190810c79c91799dec0 completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.