Triple

T2328969
Position Surface form Disambiguated ID Type / Status
Subject Saginaw E48356 entity
Predicate locatedNear P294 FINISHED
Object Bay City E49042 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: Bay City | Statement: [Saginaw, locatedNear, Bay City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bay City
Context triple: [Saginaw, locatedNear, Bay City]
  • A. Bay City chosen
    Bay City is a small industrial and port city in east-central Michigan located near Saginaw Bay on Lake Huron.
  • B. Saginaw
    Saginaw is a city in central Michigan known for its industrial history, location along the Saginaw River, and role as a regional economic and cultural center.
  • C. Belleville, Michigan
    Belleville, Michigan is a small city in southeastern Michigan known for its lakeside setting on Belleville Lake and its proximity to the Detroit metropolitan area.
  • D. Portland, Michigan
    Portland, Michigan is a small city in Ionia County known for its historic downtown, multiple riverfront parks, and extensive network of pedestrian bridges and trails.
  • E. Trenton, Michigan
    Trenton, Michigan is a small city in southeastern Michigan along the Detroit River, known for its industrial history, riverfront parks, and role as part of the Downriver suburban communities near Detroit.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc665c6548190af90d70475b4519b completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cce716c8190b87b117b270b9a84 completed March 9, 2026, 11:50 p.m.
Created at: March 4, 2026, 7:50 p.m.