Triple

T14417657
Position Surface form Disambiguated ID Type / Status
Subject Cedar-Isles-Dean E357497 entity
Predicate partOf P40 FINISHED
Object Calhoun-Isles community E1099003 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: Calhoun-Isles community | Statement: [Cedar-Isles-Dean, partOf, Calhoun-Isles community]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calhoun-Isles community
Context triple: [Cedar-Isles-Dean, partOf, Calhoun-Isles community]
  • A. Calhoun-Isles community chosen
    The Calhoun-Isles community is an upscale urban area of Minneapolis known for its lakes, historic neighborhoods, and vibrant commercial districts.
  • B. Mount Hope community
    Mount Hope community is a small locality that lends its name to the nearby Mount Hope Airport.
  • C. Mount Pleasant area
    The Mount Pleasant area is a region in central Michigan known for its entertainment, gaming, and tourism centered around the Soaring Eagle Casino & Resort.
  • D. Mount Pleasant area
    The Mount Pleasant area is a community in Westmoreland County, Pennsylvania, known for its small-town character and regional connectivity via local state highways.
  • E. Branchton
    Branchton is a small locality known primarily for its railway station, which serves as a transport link for the surrounding area.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cec8e4819087c72d82f9caacda completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a38003c819083f276fcaae52da9 completed May 8, 2026, 5:52 a.m.
Created at: April 10, 2026, 1:17 a.m.