Triple

T14293966
Position Surface form Disambiguated ID Type / Status
Subject Minnetonka E354389 entity
Predicate adjacentTo P224 FINISHED
Object Plymouth E364391 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: Plymouth | Statement: [Minnetonka, adjacentTo, Plymouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plymouth
Context triple: [Minnetonka, adjacentTo, Plymouth]
  • A. Plymouth
    Plymouth is a historic coastal town in Massachusetts, United States, best known as the landing site of the Pilgrims and often called "America’s Hometown."
  • B. Plymouth
    Plymouth is the former capital of Montserrat that was destroyed and permanently evacuated following devastating volcanic eruptions in the 1990s.
  • C. Plymouth chosen
    Plymouth is a suburban city in Minnesota known for its residential communities, parks, and proximity to Minneapolis.
  • D. Plymouth
    Plymouth is a small borough in Luzerne County, northeastern Pennsylvania, historically known as a coal-mining community along the Susquehanna River.
  • E. Plymouth
    Plymouth is a small village in the U.S. state of Ohio known for its rural Midwestern character and historic roots.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de7179368081908117a9ccfbf94fd4 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d0e6abc819097c0c9bdc08387f6 completed May 8, 2026, 1:31 a.m.
Created at: April 10, 2026, 1:11 a.m.