Triple

T19016285
Position Surface form Disambiguated ID Type / Status
Subject Government of the Pitcairn Islands E465357 entity
Predicate capital P234 FINISHED
Object Adamstown 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: Adamstown | Statement: [Government of the Pitcairn Islands, capital, Adamstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adamstown
Context triple: [Government of the Pitcairn Islands, capital, Adamstown]
  • A. Adamstown chosen
    Adamstown is the small, remote settlement that serves as the only town and administrative center of the Pitcairn Islands in the South Pacific Ocean.
  • B. Bradentown
    Bradentown was the original name of the city now known as Bradenton, Florida, a Gulf Coast community in Manatee County.
  • C. Martintown
    Martintown is a small rural community located within the Township of South Glengarry in eastern Ontario, Canada.
  • D. Gerrardstown
    Gerrardstown is a small unincorporated community in Berkeley County, West Virginia, known for its rural character and historic roots.
  • E. Laleston
    Laleston is a village in Bridgend County Borough, South Wales, known for its historic church and traditional stone-built architecture.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6db04fc819094709f223e30a526 completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.