Triple

T1742875
Position Surface form Disambiguated ID Type / Status
Subject West Michigan E38270 entity
Predicate hasCity P316 FINISHED
Object Wyoming, Michigan E144774 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: Wyoming, Michigan | Statement: [West Michigan, hasCity, Wyoming, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wyoming, Michigan
Context triple: [West Michigan, hasCity, Wyoming, Michigan]
  • A. Wyoming, Michigan chosen
    Wyoming, Michigan is a suburban city located just south of Grand Rapids in western Michigan, known for its residential neighborhoods, parks, and light industrial and commercial areas.
  • B. Wyoming
    Wyoming is a sparsely populated U.S. state known for its vast plains, the Rocky Mountains, and iconic national parks like Yellowstone and Grand Teton.
  • C. Montana
    Montana is a large, sparsely populated U.S. state in the northern Rocky Mountains known for its expansive wilderness, national parks like Glacier, and wide-open "Big Sky" landscapes.
  • D. Wisconsin
    Wisconsin is a U.S. state in the Upper Midwest known for its dairy industry, Great Lakes shorelines, and mix of rural landscapes and industrial cities.
  • E. Nebraska
    Nebraska is a landlocked U.S. state on the Great Plains known for its agriculture, prairies, and role as a historic crossroads for westward expansion.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c836d48190bd44ea24977aba2d completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b0ab7008190a2fafe1c8ac55ac4 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:30 p.m.