Triple

T1474350
Position Surface form Disambiguated ID Type / Status
Subject University of Maine at Augusta E30804 entity
Predicate city P40 FINISHED
Object Augusta, Maine E2670 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: Augusta, Maine | Statement: [University of Maine at Augusta, city, Augusta, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Augusta, Maine
Context triple: [University of Maine at Augusta, city, Augusta, Maine]
  • A. Augusta, Maine chosen
    Augusta, Maine is a small city in the northeastern United States known as the capital of the state of Maine and situated along the Kennebec River.
  • B. Portland, Maine
    Portland, Maine is a coastal New England city known for its historic Old Port district, vibrant arts and food scenes, and working waterfront on Casco Bay.
  • C. Bangor, Maine
    Bangor, Maine is a small city in eastern Maine known as a regional commercial and cultural hub and famously associated with author Stephen King.
  • D. Madison, Maine
    Madison, Maine is a small town in central Maine known for its rural character, historic mill industry, and location along the Kennebec River.
  • E. Augusta
    Augusta is the given first name of Ada Lovelace, the 19th-century mathematician often regarded as the world's first computer programmer.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c6011d248190988380eca4ecf514 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad8aad1a30819086df8e4ef3752263 completed March 8, 2026, 2:41 p.m.
Created at: March 1, 2026, 8:11 p.m.