Triple

T22925322
Position Surface form Disambiguated ID Type / Status
Subject Port Stephens urban area E569288 entity
Predicate contains P35 FINISHED
Object Corlette
Corlette is a coastal suburb in New South Wales, Australia, known for its beaches and residential areas within the Port Stephens region.
E1562124 NE FINISHED

How this triple was built (4 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: [Port Stephens urban area, contains, Corlette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corlette
Context triple: [Port Stephens urban area, contains, Corlette]
  • A. Laurendine
    Laurendine was the former name of the community now known as Theodore in Mobile County, Alabama.
  • B. Scarphe
    Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
  • C. Gonnesa
    Gonnesa is a coastal town and municipality in southwestern Sardinia, Italy, known for its mining history and nearby beaches.
  • D. 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.
  • E. Olivette
    Olivette is a diminutive given name derived from Olive, often associated with peace and nature.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Corlette
Triple: [Port Stephens urban area, contains, Corlette]
Generated description
Corlette is a coastal suburb in New South Wales, Australia, known for its beaches and residential areas within the Port Stephens region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Corlette
Target entity description: Corlette is a coastal suburb in New South Wales, Australia, known for its beaches and residential areas within the Port Stephens region.
  • A. Laurendine
    Laurendine was the former name of the community now known as Theodore in Mobile County, Alabama.
  • B. Scarphe
    Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
  • C. Gonnesa
    Gonnesa is a coastal town and municipality in southwestern Sardinia, Italy, known for its mining history and nearby beaches.
  • D. 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.
  • E. Olivette
    Olivette is a diminutive given name derived from Olive, often associated with peace and nature.
  • F. None of above. chosen

Provenance (5 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d84fc08190b747c3f9052c657a completed April 29, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc247a9f8819099f0f79e6f1807d1 completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc35c3ea08190a3b9111297774e6c completed May 19, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc43eafe081909dfff8b40d624635 completed May 19, 2026, 2 a.m.
Created at: April 17, 2026, 3:43 p.m.