Triple

T14621297
Position Surface form Disambiguated ID Type / Status
Subject Duddon Estuary E343227 entity
Predicate locatedIn P40 FINISHED
Object Copeland E546447 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: Copeland | Statement: [Duddon Estuary, locatedIn, Copeland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copeland
Context triple: [Duddon Estuary, locatedIn, Copeland]
  • A. Copeland chosen
    Copeland is a local government district in Cumbria, England, known for its coastal towns, parts of the Lake District National Park, and the Sellafield nuclear facility.
  • B. Boyland
    Boyland is a rural locality in Queensland, Australia, known for its scenic countryside within the Scenic Rim region.
  • C. Conerly
    Conerly is a surname most notably associated with Charlie Conerly, a prominent mid-20th-century American football quarterback.
  • D. Callen
    Callen is a fictional undercover operative and lead character in the television series "NCIS: Los Angeles," known for his mysterious past and exceptional investigative skills.
  • E. Cooley
    Cooley was a party in the landmark 1852 U.S. Supreme Court case Cooley v. Board of Wardens, which helped define the scope of state versus federal power over commerce.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb466a61c81908a110d40fb959b6f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92688a08190bb27434acc7c12e7 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.