Triple

T18281569
Position Surface form Disambiguated ID Type / Status
Subject Connecticut shoreline E437875 entity
Predicate hasTown P847 FINISHED
Object Groton 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: Groton | Statement: [Connecticut shoreline, hasTown, Groton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groton
Context triple: [Connecticut shoreline, hasTown, Groton]
  • A. Groton
    Groton is a small incorporated village located within Tompkins County in the state of New York.
  • B. Groton, Connecticut chosen
    Groton, Connecticut is a coastal town in southeastern Connecticut known for its historic Revolutionary War sites and as home to the U.S. Navy’s primary submarine base and major submarine shipbuilding facilities.
  • C. Groton, Massachusetts
    Groton, Massachusetts is a historic New England town known for its rural character, scenic landscapes, and prestigious preparatory schools such as Groton School.
  • D. New London
    New London is a small city in northeastern Missouri that serves as the administrative and governmental center of Ralls County.
  • E. New London
    New London is a small village in Huron County, Ohio, known for its rural character and tight-knit community.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50056ea0481908d66bf263ac80c75 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:35 a.m.