Triple

T22978004
Position Surface form Disambiguated ID Type / Status
Subject Soldiers Point E571377 entity
Predicate nearbyLocality P4647 FINISHED
Object Corlette 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: Corlette | Statement: [Soldiers Point, nearbyLocality, Corlette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corlette
Context triple: [Soldiers Point, nearbyLocality, Corlette]
  • A. Corlette chosen
    Corlette is a coastal suburb in New South Wales, Australia, known for its beaches and residential areas within the Port Stephens region.
  • B. Laurendine
    Laurendine was the former name of the community now known as Theodore in Mobile County, Alabama.
  • C. Scarphe
    Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
  • D. Gonnesa
    Gonnesa is a coastal town and municipality in southwestern Sardinia, Italy, known for its mining history and nearby beaches.
  • E. Trischen
    Trischen is a small, uninhabited German island in the North Sea, known for its protected bird sanctuary and role within the Schleswig-Holstein Wadden Sea National Park.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18292f3788190ab4e9d559e0070c8 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.