Triple

T41591
Position Surface form Disambiguated ID Type / Status
Subject Ayer E820 entity
Predicate locatedIn P40 FINISHED
Object New England E333 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: New England | Statement: [Ayer, locatedIn, New England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New England
Context triple: [Ayer, locatedIn, New England]
  • A. New England chosen
    New England is a historic region in the northeastern United States known for its colonial heritage, distinct seasons, and influential role in American culture and politics.
  • B. Northeastern United States
    The Northeastern United States is a densely populated and historically significant region of the country known for its major metropolitan areas, economic influence, and role in American politics and culture.
  • C. Massachusetts
    Massachusetts is a U.S. state in New England known for its pivotal role in American history, prestigious universities, and major cultural and economic centers like Boston.
  • D. Western Massachusetts
    Western Massachusetts is the largely rural, hilly western region of the state known for its scenic landscapes, college towns, and cultural destinations such as the Berkshires.
  • E. Maine
    Maine is a northeastern U.S. state known for its rugged coastline, maritime history, and vast forested interior.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ae0b7c4819092220568e8e52ad5 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a364724e588190b8b33bdb5d836e50 completed Feb. 28, 2026, 9:56 p.m.
Created at: Feb. 28, 2026, 1:46 a.m.