Triple

T19715233
Position Surface form Disambiguated ID Type / Status
Subject Coos County E473458 entity
Predicate largestCity P235 FINISHED
Object Berlin, New Hampshire 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: Berlin, New Hampshire | Statement: [Coos County, largestCity, Berlin, New Hampshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin, New Hampshire
Context triple: [Coos County, largestCity, Berlin, New Hampshire]
  • A. Berlin, New Hampshire chosen
    Berlin, New Hampshire is a small industrial city in northern New Hampshire historically known for its paper mills and outdoor recreation along the Androscoggin River.
  • B. Hanover, New Hampshire
    Hanover, New Hampshire is a small Ivy League college town in western New Hampshire best known as the home of Dartmouth College.
  • C. Berlin, Vermont
    Berlin, Vermont is a small New England town in central Vermont known for its rural character and proximity to the state capital, Montpelier.
  • D. Dublin, New Hampshire
    Dublin, New Hampshire is a small rural town in Cheshire County known for its scenic setting near Mount Monadnock and its historic New England character.
  • E. Bedford, New Hampshire
    Bedford, New Hampshire is a suburban town in southern New Hampshire known for its residential character, strong school system, and proximity to the city of Manchester.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6440cb47c81908124dfbd6f781d23 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.