Triple

T12756302
Position Surface form Disambiguated ID Type / Status
Subject Ann Arbor metropolitan area E304868 entity
Predicate containsTownship P847 FINISHED
Object Freedom Township E978342 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: Freedom Township | Statement: [Ann Arbor metropolitan area, containsTownship, Freedom Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freedom Township
Context triple: [Ann Arbor metropolitan area, containsTownship, Freedom Township]
  • A. Freedom Township chosen
    Freedom Township is a civil township located in Washtenaw County in the U.S. state of Michigan.
  • B. Liberty Township
    Liberty Township is a local governmental subdivision located in Fairfield County, Ohio, known for its mix of rural landscapes and growing residential communities.
  • C. Star Township
    Star Township is a small civil township located in rural Antrim County in the northern Lower Peninsula of Michigan, United States.
  • D. Forest Township
    Forest Township is a rural civil township located in Minnesota, United States.
  • E. James Township
    James Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8b57b88190b29b8fdca415c81c completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c9aa6308190bfcb1511a561c0f9 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.