Triple

T4241882
Position Surface form Disambiguated ID Type / Status
Subject Amtrak Midwest services E95431 entity
Predicate connectsCity P4245 FINISHED
Object Lansing, Michigan E16556 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: Lansing, Michigan | Statement: [Amtrak Midwest services, connectsCity, Lansing, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lansing, Michigan
Context triple: [Amtrak Midwest services, connectsCity, Lansing, Michigan]
  • A. Lansing, Michigan chosen
    Lansing, Michigan is the capital city of the U.S. state of Michigan and a historic center of automobile manufacturing and industry.
  • B. Lansing
    Lansing is a surname of English origin borne by various notable individuals, including American statesman Robert Lansing.
  • C. Lansing
    Lansing is a small village located within Tompkins County in central New York State, near the city of Ithaca.
  • D. Monroe, Michigan
    Monroe, Michigan is a small city in southeastern Michigan near the western shore of Lake Erie, known for its historic downtown, industrial base, and role in the Battle of Frenchtown during the War of 1812.
  • E. Grand Rapids, Michigan
    Grand Rapids, Michigan is a mid-sized city in western Michigan known for its strong Dutch-American heritage, vibrant arts scene, and historic furniture manufacturing industry.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e891bc08190831187da4f553f48 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c710c2f081908b9be1da2bdf1b43 completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:05 p.m.