Triple

T22209295
Position Surface form Disambiguated ID Type / Status
Subject Deer Island E548897 entity
Predicate hasSettlement P1068 FINISHED
Object Leonardville 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: Leonardville | Statement: [Deer Island, hasSettlement, Leonardville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonardville
Context triple: [Deer Island, hasSettlement, Leonardville]
  • A. Leonardville chosen
    Leonardville is a small coastal community located on Deer Island in the Canadian province of New Brunswick.
  • B. Leonardville
    Leonardville is a small rural settlement in Namibia’s Omaheke Region, known primarily for cattle farming and its remote, semi-arid setting.
  • C. Lanesville
    Lanesville is a coastal village neighborhood in Gloucester, Massachusetts, known for its rocky shoreline, small beaches, and historic New England charm.
  • D. Shermerville
    Shermerville was the former name of the village now known as Northbrook, Illinois, a suburban community north of Chicago.
  • E. Lyndonville
    Lyndonville is a small village in northeastern Vermont, United States, known as a local commercial and educational hub within the rural Northeast Kingdom 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2aefb881909bddbabd4be0bd58 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.