Triple

T22920930
Position Surface form Disambiguated ID Type / Status
Subject St. Stephen, New Brunswick E568856 entity
Predicate riverFormsBorderWith P31306 FINISHED
Object Maine 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: Maine | Statement: [St. Stephen, New Brunswick, riverFormsBorderWith, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maine
Context triple: [St. Stephen, New Brunswick, riverFormsBorderWith, Maine]
  • A. Maine chosen
    Maine is a northeastern U.S. state known for its rugged coastline, maritime history, and vast forested interior.
  • B. Maine
    Maine is a historical region in northwestern France that played a significant role in the medieval power struggles between the English and French crowns.
  • C. Maine
    Maine is an American rapper, songwriter, and record executive best known as the president of Young Money Entertainment.
  • D. New Hampshire and Maine
    New Hampshire and Maine are neighboring New England states in the northeastern United States, known for their rugged coastlines, forested landscapes, and historic colonial towns.
  • E. Penobscot, Maine
    Penobscot, Maine is a small coastal town in Hancock County known for its rural character, historic New England charm, and location along the Penobscot Bay region.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d5658c81908dbbb5882fcc1b8b completed April 29, 2026, 3:53 a.m.
Created at: April 17, 2026, 3:43 p.m.