Triple

T2463942
Position Surface form Disambiguated ID Type / Status
Subject Superior Dome E55198 entity
Predicate city P40 FINISHED
Object Marquette E61399 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: Marquette | Statement: [Superior Dome, city, Marquette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marquette
Context triple: [Superior Dome, city, Marquette]
  • A. Marquette
    Marquette is a city in Michigan’s Upper Peninsula known as a key shipping and commercial hub on the southern shore of Lake Superior.
  • B. Marquette
    Marquette is a French surname most notably associated with the 17th-century Jesuit missionary and explorer Jacques Marquette, after whom various places and institutions in North America are named.
  • C. Marquette, Michigan chosen
    Marquette, Michigan is a city on the southern shore of Lake Superior known as a regional hub for education, healthcare, and outdoor recreation in Michigan’s Upper Peninsula.
  • D. Mayo
    The Mayo are an Indigenous people of northwestern Mexico, primarily inhabiting the state of Sonora and known for their rich agricultural traditions and ceremonial dances.
  • E. Cheboygan
    Cheboygan is a small city in northern Michigan known as a gateway to the Inland Waterway and Lake Huron, with a history tied to lumbering and maritime activity.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd12059788190a6493f64bb725aed completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0d6ed7481909e900f947463d5d8 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:44 p.m.