Triple

T18205906
Position Surface form Disambiguated ID Type / Status
Subject Mount Wachusett Community College Leominster campus E435901 entity
Predicate city P40 FINISHED
Object Leominster NE NERFINISHED

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: Leominster | Statement: [Mount Wachusett Community College Leominster campus, city, Leominster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leominster
Context triple: [Mount Wachusett Community College Leominster campus, city, Leominster]
  • A. Leominster
    Leominster is a historic market town in Herefordshire, England, known for its medieval architecture and agricultural heritage.
  • B. Leominster, Massachusetts chosen
    Leominster, Massachusetts is a small city in north-central Massachusetts known historically for its plastics industry and as the birthplace of the modern plastic comb.
  • C. Fitchburg
    Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
  • D. Willimansett
    Willimansett is a residential neighborhood and village within the city of Chicopee in western Massachusetts, located along the Connecticut River.
  • E. Mellrichstadt
    Mellrichstadt is a small town in northern Bavaria, Germany, known for its historic town center and location near the Rhön Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e2234b988190bbe2c2164d61f65f completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.