Triple

T14134530
Position Surface form Disambiguated ID Type / Status
Subject Cass River E350254 entity
Predicate crosses P416 FINISHED
Object Vassar, Michigan E1117679 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: Vassar, Michigan | Statement: [Cass River, crosses, Vassar, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vassar, Michigan
Context triple: [Cass River, crosses, Vassar, Michigan]
  • A. Vassar, Michigan chosen
    Vassar, Michigan is a small city in Tuscola County known for its historic downtown and location along the Cass River in Michigan’s Thumb region.
  • B. Vanderbilt, Michigan
    Vanderbilt, Michigan is a small village in northern Michigan known as the "Gateway to the Pigeon River Country" and situated within Otsego County.
  • C. Hesperia, Michigan
    Hesperia, Michigan is a small village in western Michigan known for its rural character, outdoor recreation opportunities, and location near the White River.
  • D. Princeton, Michigan
    Princeton, Michigan is a small unincorporated community located within Forsyth Township in Michigan’s Upper Peninsula.
  • E. Vermontville, Michigan
    Vermontville, Michigan is a small rural village in Eaton County known for its historic charm and annual maple syrup festival.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610e949c8190852d336c9d12bfd0 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cd12c308190ac868ffe7c5539b0 completed May 8, 2026, 4:18 p.m.
Created at: April 9, 2026, 11:57 p.m.